Face, facial recognition technology and personal privacy

The privacy problem of facial recognition technology is that commercial companies obtain people's facial information without the consent of individuals and use facial information to infringe on the privacy of individuals. The importance of human privacy in facial recognition technology is reflected through facial ethics, which requires others to perform corresponding obligations to individuals, such as oral care. Through the analysis of the privacy issues of facial recognition technology, it is found that the two elements of "without personal informed" and "without personal consent" together form the basis for commercial companies to violate personal privacy. The principle of informed consent includes the principle of informed and the principle of consent, which is derived from the principle of informed consent in medical ethics. This paper improves the principles of informed consent in medicine and ethics to better address facial recognition privacy issues.

El problema de la privacidad en la tecnología de reconocimiento facial es que las empresas comerciales obtienen información facial de las personas sin el consentimiento de éstas y utilizan la información facial para vulnerar la privacidad de las personas. La importancia de la privacidad de las personas en la tecnología de reconocimiento facial se refleja a través de la ética facial, que exige que otros cumplan las obligaciones correspondientes con los individuos, como el cuidado bucal. A través del análisis de los problemas de privacidad de la tecnología de reconocimiento facial se descubre que los dos elementos de "sin información personal" y "sin consentimiento personal" juntos forman la base para que las empresas comerciales violen la privacidad personal. El principio de consentimiento informado incluye el de información y el de consentimiento, que se deriva del principio de consentimiento informado de la ética médica. Este artículo mejora los principios del consentimiento informado en medicina y ética para abordar mejor los problemas de privacidad del reconocimiento facial.

A questão da privacidade na tecnologia de reconhecimento facial é que as companhias comerciais obtém informações faciais das pessoas sem seu consentimento e usam informação facial para infringir sua privacidade. A importância da privacidade humana na tecnologia de reconhecimento facial é refletida através da ética facial, que exige que se cumpram obrigações correspondentes para com os indivíduos, da mesma forma como com cuidados orais. Através da análise de aspectos de privacidade na tecnologia de reconhecimento facial, encontrou-se que os dois elementos "sem informação pessoal" e "sem consentimento pessoal" juntos, formam a base para companhias comerciais violarem a privacidade pessoal. O princípio do consentimento informado inclui o princípio de informação e o princípio de consentimento, os quais derivam do princípio do consentimento informado em ética médica. Esse artigo melhora os princípios do consentimento informado em medicina e ética para melhor incluir aspectos de privacidade no reconhecimento facial.

Propiedades psicométricas de una tarea computarizada Stroop emocional caras y palabras

Objetivo: Determinar las propiedades psicométricas de una tarea computarizada de Stroop de reconocimiento emocional de caras y palabras en población colombiana. Método: La investigación fue de naturaleza cuantitativa, con un diseño de investigación instrumental de tipo psicométrico y de desarrollo tecnológico. La muestra se seleccionó por conveniencia, estuvo conformada por 1172 participantes (56,6 % mujeres, 43,4 % hombres), con edades entre 18 a 25 años quienes ingresaban a un dominio para contestar la tarea después de leer y aceptar el consentimiento. Resultados: Los resultados obtenidos demuestran una consistencia interna favorable con un KR-20=0,853 y un coeficiente Omega de McDonald=0,859, una validez de constructo, a partir de un análisis factorial exploratorio y análisis factorial confirmatorio, que presenta una estructura de seis factores y explica un 50,32 % de la varianza; además, de una validez convergente con un coeficiente de correlación Spearman positivo de 0,522 %; los índices de confiabilidad y validez obtenidos en el presente estudio hacen de esta versión computarizada una prueba que puede ser usada en el ámbito de la evaluación de procesos de atención, memoria de trabajo e inhibición en población adulta colombiana no clínica. Conclusiones: En conclusión, se observó efectivamente que la configuración del instrumento psicológico en un software informático optimiza la recolección de datos, pues hay más precisión en la medición de latencias de respuestas, así mismo facilita el análisis de los datos.

Objective: To determine the psychometric properties of a computerized Stroop task of emotional recognition of faces and words in a Colombian population. Method: The research was quantitative in nature with an instrumental design of a psychometric type and technological development. The sample was selected for convenience. It was made up of 1172 participants (56,6 % women, 43 % men) between 18 and 25 years of age. They entered a domain to answer the task after reading and giving consent. Results: The results showed a favorable internal consistency with a KR-20=0,853 and a McDonald's Omega coefficient=0,859. A construct validity was obtained from an exploratory factor analysis and a confirmatory factor analysis which presents a structure of six factors and explains 50,32 % of variance. In addition, it presents a convergent validity with a positive Spearman correlation coefficient of 0,522. The reliability and validity indices obtained in the present study make this computerized version a test that can be used in the field of evaluation of processes of attention, working memory and inhibition in non-clinical Colombian adult population. Discussions: In conclusion, it was effectively observed that the configuration of the psychological instrument in computer software optimizes data collection since there is more precision in the measurement of response latencies, as well as facilitating data analysis.

Objetivo: Determinar as propriedades psicométricas de uma tarefa Stroop computadorizada de reconhecimento emocional de rostos e palavras em uma população colombiana. Metologia: A pesquisa era de natureza quantitativa, com um projeto de pesquisa instrumental de tipo psicométrico e de desenvolvimento tecnológico. A amostra foi selecionada por conveniência e consistiu de 1172 participantes (56,6 % mulheres, 43,4 % homens), com idades entre 18 e 25 anos, que entraram em um domínio para responder à tarefa após a leitura e aceitação do termo de consentimento. Resultados: Os resultados obtidos mostram uma consistência interna favorável com um coeficiente KR-20=0,853 e McDonald's Omega = 0,859, A validade da construção foi obtida a partir de uma análise exploratória de fatores e análise confirmativa de Fatores, que apresenta uma estrutura de seis fatores e explica 50,32 % da variação, e validade convergente com um coeficiente de correlação Spearman positivo de 0,522. Os índices de confiabilidade e validade obtidos no presente estudo fazem desta versão computadorizada um teste que pode ser usado na avaliação da atenção, memória de trabalho e processos de inibição na população adulta colombiana não-clínica. Conclusões: Em conclusão, foi realmente observado que a configuração do instrumento psicológico em um software de computador otimiza a coleta de dados, pois há maior precisão na medição das latências de resposta, além de facilitar a análise dos dados.

CONTEXTUAL LEARNING APPROACH FOR SYNDROME DISEASE NAMED ENTITY RECOGNITION

The groundwork for extracting a significant amount of biomedical information from unstructured texts into structured formats is the difficult research area of biological entity recognition from medical documents. The existing work implemented the named entity recognition for diseases using the sequence labelling framework. The performance of this strategy, however, is not always adequate, and it frequently cannot fully exploit the semantic information in the dataset. The Syndrome Diseases Named Entity problem is presented in this work as a sequence labelling with multi-context learning. By using well-designed text/queries, this formulation may incorporate more previous information and to decode it using decoding techniques such conditional random fields (CRF). We performed experiments on three biomedical datasets, and the outcomes show how effective our methodology is on the BC5CDR-Disease, JNLPBA and NCBI-Disease, compared with other techniques our methodology performs with accuracy levels of 96.70%,98.65 and 96.72% respectively.

Enfrentamiento de la anafilaxia en el servicio de urgencia / Approach of Anaphylaxis in the emergency room

La anafilaxia es una reacción en su mayoría de hipersensibilidad tipo I, que estimula la activación generalizada de mastocitos, y provoca un cuadro clínico multisistémico que puede ser fatal. Se estima que tiene una incidencia de 0,03-0,1% y una prevalencia de vida de 0,5-2% en la población general. Generalmente, la reacción inmunológica ocurre posterior a la ingesta de alimentos, uso de medicamentos o picaduras de insectos, pero también se han descrito mecanismos no inmunológicos (no IgE) que actúan directamente sobre los mastocitos, llamadas en la literatura "reacciones anafilactoideas". La anafilaxia fue descrita por Paul Portier y Charles Robert Richet en 1902 en perros, los cuales desarrollaban esta reacción posterior a la inyección repetida de veneno de anémonas (medusas). Sin embargo, esta entidad no tuvo criterios diagnósticos ni pilares de manejo estructurado hasta el año 2006. En ese año en se publicó el segundo simposio de manejo de la anafilaxia, en donde se definieron criterios diagnósticos clínicos claros y el rol fundamental de la adrenalina en su manejo; la única droga que cambia el pronóstico del paciente.

Anaphylaxis is mainly a type I hypersensitivity reaction. It triggers a widespread activation of mast cells, causing a multisystemic clinical scenario that can be fatal. It is estimated to have an incidence of 0.03-0.1% and a lifetime prevalence of 0.5-2%. Most immunological reactions occur after food ingestion, medication, or insect stings, but non-immunological (non-IgE) mechanisms that act directly on mast cells, called Anaphylactoid Reactions, have been also described. Anaphylaxis was described by Paul Portier and Charles Robert Richet in 1902 in dogs, that developed this disease after repeated injections of anemones (jellyfish) venom. However, this entity didn't have established diagnostic criteria or an standarized management until 2006. In this year, the second anaphylaxis management sym-posium took place and clear clinical diagnostic criteria were defined. The fundamental role of adrenaline in its management was also established. The former is the only drug that has demonstrated to improve prognosis of the patient

Effect of pupil dilation on biometric iris recognition systems for personal authentication

Purpose: To study the effect of pupil dilation on a biometric iris recognition (BIR) system for personal authentication and identification. Methods: A prospective, non?randomized, single?center cohort study was conducted on patients who reported for a routine eye check?up from November 2017 to November 2019 (2 years). An iris scanning device “IRITECH?MK2120U” was used to initially enroll the undilated eyes. Baseline scans were taken after matching with the enrolled database. All eyes were topically dilated and matched again with the enrolled database. The Hamming distance (a measure of disagreement between two iris codes) and recognition status were recorded from the device output, and eyes were evaluated by slit?lamp ophthalmoscopy with special emphasis on pupil shape, size, and texture. Results: All 321 enrolled eyes matched after topical dilation. The pupil size had a significant effect on Hamming distance with a P value <0.05. There were no false matches. A correct recognition rate of 100% was obtained after dilation. No loss of iris texture or pupil shape was observed after dilation. Conclusion: A BIR system is a reliable method for identification and personal authentication after pupil dilation. Topically dilated pupils are not a cause for non?recognition of iris scans.

Association between Sleep Quality and Different Aspects of Memory along with Assessment of Post Exercise and Post Meditation Effects

Background and Aims : Sleep is a highly conserved behaviour across animal evolution. The functions of sleep include restoration, memory processing, dreaming etc. Memory is informational processing system with explicit and implicit functioning made up of sensory processor, short term memory and long term memory. The present study was designed to analyse the impact of sleep quality on memory and effect of exercise and meditation on same. Material and Method : The present study was performed on 110 subjects chosen randomly with no gender bias. In first phase, baseline values were assessed for different sub tests of sleep quality and different aspects of memory. Subjects were divided into two groups with each group including 27 males and 27 females. One group was required to perform moderate intensity exercise and other meditation for one month duration. In the second phase, parameters were again assessed. Statistical analysis : Paired t-test was used for comparison of memory and sleep components between males and females. Independent t-test was used between baseline and post intervention values of exercise, meditation. Correlation studies were also carried out between sleep quality and different aspects of memory using Pearson correlation coefficient. Result : Significant and non significant results were obtained on comparison of memory and sleep components in males and females. Total memory score was better in females. Exercise and meditation exhibited statistically significant result on memory and sleep quality. Conclusion : Good sleep quality is associated with better memory. There is improvement across domains of memory and sleep with meditation and exercise.

The role of myocardial work parameters in early identification of myocardial injury in neonatal asphyxia / 中国新生儿科杂志

Objective:To study the role of myocardial work parameters in early identification of myocardial injury in neonatal asphyxia.Methods:From July 2020 to December 2021, neonates diagnosed with mild neonatal asphyxia admitted to the Department of Neonatology of our hospital within 24 h after birth were prospectively enrolled into the asphyxia group. Neonates without asphyxia during the same period were selected as the control group and matched with the asphyxia group for gender, gestational age and birth weight at a ratio of 1:1~1:2. The asphyxia group was subgrouped into preterm asphyxia group and term asphyxia group. All neonates received echocardiography within 24 h after birth. Multiple parameters were measured including M-mode, two-dimensional image, Doppler image, global longitudinal strain (GLS) and myocardial work parameters [global work index (GWI), global constructive work (GCW), global wasted work (GWW), global work efficiency (GWE)]. The level of serum N-terminal pro brain natriuretic peptide (NT-proBNP) was recorded in the asphyxia group. The data were compared between the asphyxia group and the control group. Correlations between myocardial work parameters and other parameters were analyzed.Results:A total of 33 cases were in the asphyxia group and 43 cases were in the control group. The preterm asphyxia group (18 cases) showed significantly lower GWI and GCW than the preterm control group (18 cases) [GWI: (702±153) mmHg vs. (879±205) mmHg, GCW: (1 016±221) mmHg vs. (1 200±271) mmHg] ( P<0.05). No differences existed in GLS, GWW and GWE. The term asphyxia group (15 cases) showed significantly lower GWW than the term control group (25 cases) [45.0 (30.0, 65.0) mmHg vs. 71.0 (35.5,85.5) mmHg] ( P<0.05). No differences existed in GLS, GWI, GCW and GWE. GWI was negatively correlated with serum NT-proBNP level ( r=-0.327, P<0.05). Conclusions:GWI and GCW may indicate myocardial injury in preterm neonates with mild asphyxia.

Study on comprehensive quality evaluation of Sargentodoxae Caulis from different habitats / 国际中医中药杂志

Objective:To comprehensively evaluated the quality of Sargentodoxae Caulis from different habitats with a combination of indexes and characteristic chromatogram method from Chinese Pharmcopoeia (Edition 2020). Methods:The contents of water content, total ash, ethanolic extract, sulfur dioxide residue, heavy metals and harmful elements, total phenols, chlorogenic acid, salidroside and characteristic chromatogram of 17 batches of Sargentodoxae Caulis were determined. The quality of Sargentodoxae Caulis was comprehensively evaluated by combining chemical pattern recognition method. Results:The water content, total ash content, extracts, and content determination of 17 batches of Sargentodoxae Caulis from different habitats complyed with the provisions of the Chinese Pharmcopoeia (Edition 2020). There were differences in the contents of extracts, chlorogenic acid, and salidroside, among which the content of Anhui origin was higher. A total of 8 common peaks were identified from the 17 batches samples. Conclusion:Comprehensive evaluation of multiple indicators can demonstrate the quality of Sargentodoxae Caulis more correctly, and shows that the quality of Sargentodoxae Caulis from different habitats is different. The quality of Sargentodoxae Caulis from Anhui is better than that from other habitats.

Entity extraction and graph construction based on Chinese medical text / 中国药科大学学报

@#Knowledge graph technology has promoted the progress of new drug research and development, but domestic research starts late and domain knowledge is mostly stored in text, resulting in low rate of knowledge graph reuse.Based on multi-source and heterogeneous medical texts, this paper designed a Chinese named entity recognition model based on Bert-wwm-ext pre-training model and also integrated cascade thought, which reduced the complexity of traditional single classification and further improved the efficiency of text recognition.The experimental results showed that the model achieved the best performance with an F1-score of 0.903, a precision of 89.2%, and a recall rate of 91.5% on the self-built dataset.At the same time, the model was applied to the public dataset CCKS2019, and the results showed that the model had better performance and recognition effect.Using this model, this paper constructed a Chinese medical knowledge graph, involving 13 530 entities, 10 939 attributes and 39 247 relationships of them in total.The Chinese medical entity extraction and graph construction method proposed in this paper is expected to help researchers accelerate the new discovery of medical knowledge, and shorten the process of new drug discovery.

Study on the material basis of cold and hot properties of traditional Chinese medicines in Lamiaceae based on pattern recognition / 药学学报

To study the material basis of cold and hot properties of traditional Chinese medicines (TCMs) in Lamiaceae and to establish a cold and hot properties identification model, a database of material components of TCMs in Lamiaceae was established. A three-level classification system of material components was used to obtain the material basis of cold and hot properties of the Lamiaceae family by using data mining methods such as frequency analysis, association rule analysis, logistic regression, and feature selection. Several identification models were established to recognize the cold and hot properties. The chi-square test results showed that the material composition ratios of cold and hot properties were significantly different at the first-level, second-level, and third-level classification (P < 0.05), and the differences varied as the levels of substance classification changed. The average coefficients of variation were 42.30%, 79.07%, and 91.51% at the first-level, second-level, and third-level classification levels, respectively. In other words, in terms of the percentage differences in material composition ratio, the first-level was smaller than the second-level, and the second-level was smaller than the third-level. The results of the association rule analysis showed that under the third-level classification, there were many effective association rules, and 27 core groups and 34 specific groups of chemical components were obtained based on these rules. 15 decisive groups were obtained from the feature selection results. Multinomial logistic regression analysis was used to successfully establish a cold and hot properties identification model with an overall accuracy of 89%. The material basis of cold and hot properties of TCMs in Lamiaceae is different and intersect with each other. Twenty-seven groups of chemical components, such as bicyclic diterpenes, are the core groups of cold and hot properties, of which 15 groups are the decisive groups. The cold and hot properties are often characterized by the interaction of multiple classes of substances, and a single class of substances often cannot be used to characterize the properties. The organic combination of multiple classes of substances is the material basis of cold and hot properties.

8-Hydroxyquinolylnitrones as multifunctional ligands for the therapy of neurodegenerative diseases

We describe the development of quinolylnitrones (QNs) as multifunctional ligands inhibiting cholinesterases (ChEs: acetylcholinesterase and butyrylcholinesterase-hBChE) and monoamine oxidases (hMAO-A/B) for the therapy of neurodegenerative diseases. We identified QN 19, a simple, low molecular weight nitrone, that is readily synthesized from commercially available 8-hydroxyquinoline-2-carbaldehyde. Quinolylnitrone 19 has no typical pharmacophoric element to suggest ChE or MAO inhibition, yet unexpectedly showed potent inhibition of hBChE (IC50 = 1.06 ± 0.31 nmol/L) and hMAO-B (IC50 = 4.46 ± 0.18 μmol/L). The crystal structures of 19 with hBChE and hMAO-B provided the structural basis for potent binding, which was further studied by enzyme kinetics. Compound 19 acted as a free radical scavenger and biometal chelator, crossed the blood-brain barrier, was not cytotoxic, and showed neuroprotective properties in a 6-hydroxydopamine cell model of Parkinson's disease. In addition, in vivo studies showed the anti-amnesic effect of 19 in the scopolamine-induced mouse model of AD without adverse effects on motoric function and coordination. Importantly, chronic treatment of double transgenic APPswe-PS1δE9 mice with 19 reduced amyloid plaque load in the hippocampus and cortex of female mice, underscoring the disease-modifying effect of QN 19.

Chemical profiling and rapid discrimination of Blumea riparia and Blumea megacephala by UPLC-Q-Exactive-MS/MS and HPLC / 中草药·英文版

OBJECTIVE@#To rapidly identify the two morphologies and chemical properties of similar herbal medicines, Blumea riparia and B. megacephala as the basis for chemical constituent analysis.@*METHODS@#UPLC-Q-Exactive-MS/MS was utilized for profiling and identification of the constituents in B. riparia and B. megacephala. Chemical pattern recognition (CPR) was further used to compare and distinguish the two herbs and to identify their potential characteristic markers. Then, an HPLC method was established for quality evaluation.@*RESULTS@#A total of 93 constituents are identified, including 54 phenolic acids, 35 flavonoids, two saccharides, one phenolic acid glycoside, and one other constituent, of which 67 were identified in B. riparia and B. megacephala for the first time. CPR indicates that B. riparia and B. megacephala samples can be distinguished from each other based on the LC-MS data. The isochlorogenic acid A to cryptochlorogenic acid peak area ratio calculated from the HPLC chromatograms was proposed as a differentiation index for distinguishing and quality control of B. riparia and B. megacephala.@*CONCLUSION@#This study demonstrates significant differences between B. riparia and B. megacephala in terms of chemical composition. The results provide a rapid and simple strategy for the comparison and evaluation of the quality of B. riparia and B. megacephala.

Role of Cannabinoid CB1 Receptor in Object Recognition Memory Impairment in Chronically Rapid Eye Movement Sleep-deprived Rats / 中国医学科学杂志(英文版)

Objective We aimed to investigate whether antagonism of the cannabinoid CB1 receptor (CB1R) could affect novel object recognition (NOR) memory in chronically rapid eye movement sleep-deprived (RSD) rats.Methods The animals were examined for recognition memory following a 7-day chronic partial RSD paradigm using the multiple platform technique. The CB1R antagonist rimonabant (1 or 3 mg/kg, i.p.) was administered either at one hour prior to the sample phase for acquisition, or immediately after the sample phase for consolidation, or at one hour before the test phase for retrieval of NOR memory. For the reconsolidation task, rimonabant was administered immediately after the second sample phase.Results The RSD episode impaired acquisition, consolidation, and retrieval, but it did not affect the reconsolidation of NOR memory. Rimonabant administration did not affect acquisition, consolidation, and reconsolidation; however, it attenuated impairment of the retrieval of NOR memory induced by chronic RSD.Conclusions These findings, along with our previous report, would seem to suggest that RSD may affect different phases of recognition memory based on its duration. Importantly, it seems that the CB1R may, at least in part, be involved in the adverse effects of chronic RSD on the retrieval, but not in the acquisition, consolidation, and reconsolidation, of NOR memory.

A method of mental disorder recognition based on visibility graph / 生物医学工程学杂志

The causes of mental disorders are complex, and early recognition and early intervention are recognized as effective way to avoid irreversible brain damage over time. The existing computer-aided recognition methods mostly focus on multimodal data fusion, ignoring the asynchronous acquisition problem of multimodal data. For this reason, this paper proposes a framework of mental disorder recognition based on visibility graph (VG) to solve the problem of asynchronous data acquisition. First, time series electroencephalograms (EEG) data are mapped to spatial visibility graph. Then, an improved auto regressive model is used to accurately calculate the temporal EEG data features, and reasonably select the spatial metric features by analyzing the spatiotemporal mapping relationship. Finally, on the basis of spatiotemporal information complementarity, different contribution coefficients are assigned to each spatiotemporal feature and to explore the maximum potential of feature so as to make decisions. The results of controlled experiments show that the method in this paper can effectively improve the recognition accuracy of mental disorders. Taking Alzheimer's disease and depression as examples, the highest recognition rates are 93.73% and 90.35%, respectively. In summary, the results of this paper provide an effective computer-aided tool for rapid clinical diagnosis of mental disorders.

A multi-behavior recognition method for macaques based on improved SlowFast network / 生物医学工程学杂志

Macaque is a common animal model in drug safety assessment. Its behavior reflects its health condition before and after drug administration, which can effectively reveal the side effects of drugs. At present, researchers usually rely on artificial methods to observe the behavior of macaque, which cannot achieve uninterrupted 24-hour monitoring. Therefore, it is urgent to develop a system to realize 24-hour observation and recognition of macaque behavior. In order to solve this problem, this paper constructs a video dataset containing nine kinds of macaque behaviors (MBVD-9), and proposes a network called Transformer-augmented SlowFast for macaque behavior recognition (TAS-MBR) based on this dataset. Specifically, the TAS-MBR network converts the red, green and blue (RGB) color mode frame input by its fast branches into residual frames on the basis of SlowFast network and introduces the Transformer module after the convolution operation to obtain sports information more effectively. The results show that the average classification accuracy of TAS-MBR network for macaque behavior is 94.53%, which is significantly improved compared with the original SlowFast network, proving the effectiveness and superiority of the proposed method in macaque behavior recognition. This work provides a new idea for the continuous observation and recognition of the behavior of macaque, and lays the technical foundation for the calculation of monkey behaviors before and after medication in drug safety evaluation.

A multiscale feature extraction algorithm for dysarthric speech recognition / 生物医学工程学杂志

In this paper, we propose a multi-scale mel domain feature map extraction algorithm to solve the problem that the speech recognition rate of dysarthria is difficult to improve. We used the empirical mode decomposition method to decompose speech signals and extracted Fbank features and their first-order differences for each of the three effective components to construct a new feature map, which could capture details in the frequency domain. Secondly, due to the problems of effective feature loss and high computational complexity in the training process of single channel neural network, we proposed a speech recognition network model in this paper. Finally, training and decoding were performed on the public UA-Speech dataset. The experimental results showed that the accuracy of the speech recognition model of this method reached 92.77%. Therefore, the algorithm proposed in this paper can effectively improve the speech recognition rate of dysarthria.

3D Bitemark Analysis in Forensic Odontology Utilizing a Smartphone Camera and Open-Source Monoscopic Photogrammetry Surface Scanning

Abstract Bitemark analysis is a challenging procedure in the field of criminal case investigation. The unique characteristics of dentition are used to find the best match between the existing patterned injury and the suspected perpetrator in bitemark identification. Bitemark analysis accuracy can be influenced by various factors, including biting pressure, tooth morphology, skin elasticity, dental cast duplication, timing, and image quality. This review article discusses the potential of a smartphone camera as an alternative method for 3D bitemark analysis. Bitemark evidence on human skin and food should be immediately recorded or duplicated to retrieve long-lasting proof, allowing for a sufficient examination period. Various studies utilizing two-dimensional (2D) and three-dimensional (3D) technologies have been developed to obtain an adequate bitemark analysis. 3D imaging technology provides accurate and precise analysis. However, the currently available method using an intraoral scanner (IOS) requires high-cost specialized equipment and a well-trained operator. The numerous advantages of monoscopic photogrammetry may lead to a novel method of 3D bitemark analysis in forensic odontology. Smartphone cameras and monoscopic photogrammetry methodology could lead to a novel method of 3D bitemark analysis with an efficient cost and readily available equipment.

Face-based automatic pain assessment: challenges and perspectives in neonatal intensive care units

Abstract Objective: To describe the challenges and perspectives of the automation of pain assessment in the Neonatal Intensive Care Unit. Data sources: A search for scientific articles published in the last 10 years on automated neonatal pain assessment was conducted in the main Databases of the Health Area and Engineering Journal Portals, using the descriptors: Pain Measurement, Newborn, Artificial Intelligence, Computer Systems, Software, Automated Facial Recognition. Summary of findings: Fifteen articles were selected and allowed a broad reflection on first, the literature search did not return the various automatic methods that exist to date, and those that exist are not effective enough to replace the human eye; second, computational methods are not yet able to automatically detect pain on partially covered faces and need to be tested during the natural movement of the neonate and with different light intensities; third, for research to advance in this area, databases are needed with more neonatal facial images available for the study of computational methods. Conclusion: There is still a gap between computational methods developed for automated neonatal pain assessment and a practical application that can be used at the bedside in real-time, that is sensitive, specific, and with good accuracy. The studies reviewed described limitations that could be minimized with the development of a tool that identifies pain by analyzing only free facial regions, and the creation and feasibility of a synthetic database of neonatal facial images that is freely available to researchers.

Reconhecimento facial: tecnologia, racismo e construção de mundos possíveis / Reconocimiento facial: tecnología, racismo y construcción de mundos posibles / Facial recognition: technology, racism and construction of possible worlds

Resumo Racismo e tecnologia são importantes mediadores societários, hierarquizando grupos e reproduzindo privilégios e exclusões. Podem, contudo, inviabilizar denúncias de desigualdades, seja pelo "mito da democracia racial" ou pela ideia de neutralidade da tecnologia. Discutiremos a eficácia da articulação entre racismo e tecnologia por conta de uma dupla opacidade: negação do racismo e a negação política da tecnologia. Trazemos o reconhecimento facial como aparato sociotécnico que, articulado aos corpos negros e a realidades brasileiras, ora produz invisibilidades, ora reacentua visibilidades. A pesquisa teórica reúne conceitos do pensamento social brasileiro, versando sobre relações raciais e criminologia marginal, bem como autores do campo da Ciência, Tecnologia e Sociedade (CTS), que nos auxiliam a explicitar a não neutralidade da tecnologia e a politização da gestão algorítmica. Concluímos pela necessária ampliação das vozes dissonantes que denunciam o racismo na produção de técnicas pretensamente neutras, numa proposição cosmopolítica, de modo a poder "decidir com" as pessoas que são reconhecidas ou invisibilizadas.

Resumen El racismo y la tecnología son importantes mediadores sociales, jerarquizan grupos, reproducen privilegios y exclusiones. Sin embargo, pueden hacer inviable denunciar las desigualdades, ya sea por el "mito de la democracia racial" o por la "neutralidad de la tecnología". Discutiremos la efectividad de la articulación entre racismo y tecnología debido a una doble opacidad: la negación del racismo y la negación política de la tecnología. Presentamos el reconocimiento facial como un aparato sociotécnico que, articulado con los cuerpos negros y las realidades brasileñas, a veces produce invisibilidades y as veces vuelve a enfatizar las visibilidades. La investigación teórica reúne conceptos del pensamiento social brasileño que abordan las relaciones raciales y la criminología marginal, así como autores del campo de la ciencia, tecnología y sociedad (CTS), que nos ayudan a explicar la no neutralidad de la tecnología y la politización de la gestión algorítmica. Concluimos por la necesaria amplificación de voces disonantes que denuncian el racismo en la producción de técnicas supuestamente neutrales, una propuesta cosmopolítica, para poder "decidir con" las personas reconocidas o invisibilizadas.

Abstract Racism and technology are important societal mediators, hierarchizing groups and reproducing privileges and exclusions. They can, however, make reports of inequalities unfeasible, due to the "myth of racial democracy" or the idea of technology neutrality. We discuss the effectiveness of the articulation between racism and technology due to a double opacity: denial of racism and political denial of technology. We bring facial recognition as a sociotechnical apparatus that, articulated with black bodies and Brazilian realities, sometimes produces invisibilities, sometimes re-emphasizes visibilities. The theoretical research brings together concepts from Brazilian social thought, dealing with racial relations and marginal criminology, as well as authors from the field of Science, Technology and Society (STS), who help us to explain the non-neutrality of technology and the politicization of algorithmic management. We conclude by the necessary amplification of dissonant voices that denounce racism in the production of supposedly neutral techniques, in a cosmopolitical proposition, in order to be able to "decide with" the people who are recognized or made invisible.

Habilidades de processamento auditivo central e exame pericial de comparação de locutor / Central auditory processing skills and speaker comparison in forensic analysis

RESUMO Objetivo descrever quais são as habilidades auditivas do processamento auditivo central mais frequentes, relatadas por um grupo de especialistas para a realização do exame de Comparação de Locutor, tradicionalmente realizado por peritos forenses. Métodos estudo prospectivo, descritivo, com análise quantitativa e qualitativa. Os dados foram obtidos por meio de um consenso de especialistas. Participaram da reunião cinco fonoaudiólogos, sendo dois especialistas em audiologia, dois especialistas em voz e uma fonoaudióloga perita. A reunião foi realizada de forma virtual e síncrona, com duração de uma hora e 30 minutos. As tarefas realizadas durante o exame de Comparação de Locutor foram consideradas a partir de um protocolo disponível na literatura. As especialistas em fonoaudiologia receberam explicações a respeito de cada uma das tarefas e foram solicitadas a discutir sobre quais as habilidades do processamento auditivo central estariam envolvidas na execução de cada uma delas. Resultados sete habilidades foram consideradas na reunião dos especialistas como imprescindíveis para as tarefas realizadas no exame de Comparação de Locutor. A ordenação temporal foi a habilidade mais citada, podendo estar presente em seis tarefas, e a tarefa de transcrição do material de fala foi mencionada como sendo a que necessita de mais habilidades do processamento auditivo central. Conclusão Sete habilidades foram consideradas na reunião dos especialistas como imprescindíveis para as tarefas realizadas no exame de Comparação de Locutor. A ordenação temporal foi a habilidade mais citada, podendo estar presente em seis tarefas e a tarefa de transcrição do material de fala foi mencionada como sendo a que necessita de mais habilidades do processamento auditivo central

ABSTRACT Purpose to describe which abilities of central auditory processing are more frequently related for the group of specialists to the performance of the speaker comparison test (CL), traditionally performed by forensic experts. Methods a prospective, descriptive study with quantitative and qualitative analysis and data were obtained through a consensus of experts. Five speech therapists participated in the meeting, two specialists in audiology (EA), two specialists in voice (VS), and an expert speech therapist (FP). The meeting was held virtually and synchronously, lasting 1 hour and 30 minutes. The tasks performed during the Speaker Comparison (LC) exam were considered from a protocol available in the literature. The AEs received explanations about each of the tasks and were asked to discuss which auditory processing skills (ACP) would be involved in the performance of each of them. Results seven PAC skills were considered in the experts' meeting as essential for the tasks performed in the CL exam. Temporal ordering was the most cited skill, being present in six tasks, and the speech material transcription task is the one that requires more skills from the PAC. Conclusion Seven PAC skills were considered in the experts' meeting as essential for the tasks performed in the CL exam. Temporal ordering was the most cited skill, being present in six tasks, and the speech material transcription task is the one that requires more skills from the PAC.