Development of novel iron(III) crosslinked bioinks comprising carboxymethyl cellulose, xanthan gum, and hyaluronic acid for soft tissue engineering applications.

The advent of three-dimensional (3D) bioprinting offers a feasible approach to construct complex structures for soft tissue regeneration. Carboxymethyl cellulose (CMC) has been emerging as a very promising biomaterial for 3D bioprinting. However, due to the inability to maintain the post-printed stability, CMC needs to be physically blended and/or chemically crosslinked with other polymers. In this context, this study presents the combination of CMC with xanthan gum (XG) and hyaluronic acid (HA) to formulate a multicomponent bioink, leveraging the printability of CMC and XG, as well as the cellular support properties of HA. The ionic crosslinking of printed constructs with iron(III) via the metal-ion coordination between ferric cations and carboxylate groups of the three polymers was introduced to induce improved mechanical strength and long-term stability. Moreover, immortalized human epidermal keratinocytes (HaCaT) and human foreskin fibroblasts (HFF) encapsulated within iron-crosslinked printed hydrogels exhibited excellent cell viability (more than 95%) and preserved morphology. Overall, the presented study highlights that the combination of these three biopolymers and the ionic crosslinking with ferric ions is a valuable strategy to be considered for the development of new and advanced hydrogel-based bioinks for soft tissue engineering applications.

Graphene and metal-organic framework hybrids for high-performance sensors for lung cancer biomarker detection supported by machine learning augmentation.

Conventional diagnostic methods for lung cancer, based on breath analysis using gas chromatography and mass spectrometry, have limitations for fast screening due to their limited availability, operational complexity, and high cost. As potential replacement, among several low-cost and portable methods, chemoresistive sensors for the detection of volatile organic compounds (VOCs) that represent biomarkers of lung cancer were explored as promising solutions, which unfortunately still face challenges. To address the key problems of these sensors, such as low sensitivity, high response time, and poor selectivity, this study presents the design of new chemoresistive sensors based on hybridised porous zeolitic imidazolate (ZIF-8) based metal-organic frameworks (MOFs) and laser-scribed graphene (LSG) structures, inspired by the architecture of the human lung. The sensing performance of the fabricated ZIF-8@LSG hybrid sensors was characterised using four dominant VOC biomarkers, including acetone, ethanol, methanol, and formaldehyde, which are identified as metabolomic signatures in lung cancer patients' exhaled breath. The results using simulated breath samples showed that the sensors exhibited excellent performance for a set of these biomarkers, including fast response (2-3 seconds), a wide detection range (0.8 ppm to 50 ppm), a low detection limit (0.8 ppm), and high selectivity, all obtained at room temperature. Intelligent machine learning (ML) recognition using the multilayer perceptron (MLP)-based classification algorithm was further employed to enhance the capability of these sensors, achieving an exceptional accuracy (approximately 96.5%) for the four targeted VOCs over the tested range (0.8-10 ppm). The developed hybridised nanomaterials, combined with the ML methodology, showcase robust identification of lung cancer biomarkers in simulated breath samples containing multiple biomarkers and a promising solution for their further improvements toward practical applications.

Primary Hepatic Schwannoma: Case Report and Literature Review.

Primary hepatic schwannoma is an extremely rare tumor with a good prognosis. Preoperative diagnosis is often challenging due to nonspecific clinical symptoms and its rarity. Here, we report a case of a 56-year-old male patient misdiagnosed with malignant liver tumor, later identified as primary hepatic schwannoma. Furthermore, clinical and histopathological features of 19 cases of primary hepatic schwannoma are also documented. The age of the patients ranged from 38 to 72 years, with a mean age of 56.4 years, and the disease was more common in females. Patients typically presented without clinical symptoms and were not associated with neurofibromatosis type 1. Histopathological features of the tumor were similar to soft tissue schwannoma, characterized by a thick capsule consisting of Antoni A and Antoni B areas. Immunohistochemically, the tumor showed strong positivity and diffusely stained with S-100, while being negative for CD34, CD117, and SMA. Complete resection of the tumor was achieved in all patients. The prognosis was favorable, with no signs of recurrence. Follow-up examinations revealed disease-free survival ranging from 6 to 27 months. Differential diagnosis of primary hepatic schwannoma from malignant liver tumors and metastatic liver tumors can be made based on histopathological features and immunohistochemical staining with S-100.

Cytogenetic Characteristics of de novo Acute Myeloid Leukemia in Southern Vietnam.

BACKGROUND: The cytogenetic characteristics are important factors for risk stratification at diagnosis of acute myeloid leukemia (AML); however, cytogenetic profile of Vietnamese patients with AML remains undetermined. In this study, we present the chromosomal data of de novo AML patients in Southern Vietnam. METHODS: We performed cytogenetic testing for 336 AML patients using G banding. If the patients had suspected abnormalities, fluorescence in situ hybridization with probes of inv(3)(q21q26)/t(3;3)(q21;q26), 5q31, 7q31, t(8;21)(q21.3;q22), 11q23, t(15;17)(q24;q21), inv(16)(p13q22)/t(16;16)(p13;q22)were analyzed. Patients without above aberrations or with normal karyotype were tested by fluorescence in situ hybridization using probe 11q23. RESULTS: We found that the median age was 39 years. According to French - American - British classification, AML-M2 is the most frequent type with 35.1%. Chromosomal abnormalities were detected in 208 cases, accounting for 61.9%. Among structural abnormalities, t(15;17) was the most common (19.6%), followed by t(8;21) and inv (16)/t(16;16) in 10.1% and 6.2%, respectively. In perspective of chromosomal numerical abnornmalities, loss of sex chromosomes are the most common (7.7%), followed by +8 in 6.8%, -7/del(7q) in 4.4%, +21 in 3.9% and -5/del (5q) in 2.1%. The prevalence of addditional cytogenetic aberrations accompanying with t(8;21) and inv(16)/t(16;16) were 82.4% and 52.4%, repectively. None of +8 cases was associated with t(8;21). Regarding cytogenetic risk assessment according to European Leukemia Net 2017, there were 121 (36%) patients in favorable-risk, 180 (53.6%) in intermediate-risk and 35 (10.4%) in adverse-risk group. CONCLUSION: In conclusion, this is the first comprehensive cytogenetic profile of Vietnamese patients diagnosed with de novo AML, which helps clinical doctors in prognostic classification for AML patients in Southern Vietnam.

From Biowaste to Lab-Bench: Low-Cost Magnetic Iron Oxide Nanoparticles for RNA Extraction and SARS-CoV-2 Diagnostics.

The gold standard for diagnostics of SARS-CoV-2 (COVID-19) virus is based on real-time polymerase chain reaction (RT-PCR) using centralized PCR facilities and commercial viral RNA extraction kits. One of the key components of these kits are magnetic beads composed of silica coated magnetic iron oxide (Fe2O3 or Fe3O4) nanoparticles, needed for the selective extraction of RNA. At the beginning of the pandemic in 2019, due to a high demand across the world there were severe shortages of many reagents and consumables, including these magnetic beads required for testing for SARS-CoV-2. Laboratories needed to source these products elsewhere, preferably at a comparable or lower cost. Here, we describe the development of a simple, low-cost and scalable preparation of magnetic nanoparticles (MNPs) from biowaste and demonstrate their successful application in viral RNA extraction and the detection of COVID-19. These MNPs have a unique nanoplatelet shape with a high surface area, which are beneficial features, expected to provide improved RNA adsorption, better dispersion and processing ability compared with commercial spherical magnetic beads. Their performance in COVID-19 RNA extraction was evaluated in comparison with commercial magnetic beads and the results presented here showed comparable results for high throughput PCR analysis. The presented magnetic nanoplatelets generated from biomass waste are safe, low-cost, simple to produce in large scale and could provide a significantly reduced cost of nucleic acid extraction for SARS-CoV-2 and other DNA and RNA viruses.

Magnetic enrichment of immuno-specific extracellular vesicles for mass spectrometry using biofilm-derived iron oxide nanowires.

Immuno-specific enrichment of extracellular vesicles (EVs) can provide important information into cellular pathways underpinning various pathologies and for non-invasive diagnostics, including mass spectrometry-based analyses. Herein, we report an optimised protocol for immuno-magnetic enrichment of specific EV subtypes and their subsequent processing with liquid chromatography-tandem mass spectrometry (LC-MS/MS). Specifically, we conjugated placental alkaline phosphatase (PLAP) antibodies to magnetic iron oxide nanowires (NWs) derived from bacterial biofilms and demonstrated the utility of this approach by enriching placenta-specific EVs (containing PLAP) from cell culture media. We demonstrate efficient PLAP+ve EV enrichment for both NW-PLAP and Dynabeads™-PLAP, with high PLAP protein recovery (83.7 ± 8.9% and 83.2 ± 5.9%, respectively), high particle-to-protein ratio (7.5 ± 0.7 × 109 and 7.1 ± 1.2 × 109, respectively), and low non-specific binding of non-target EVs (7 ± 3.2% and 5.4 ± 2.2%, respectively). Furthermore, our optimized EV enrichment and processing approach identified 2518 and 2545 protein groups with LC-MS/MS for NW-PLAP and Dynabead™-PLAP, respectively, with excellent reproducibility (Pearson correlation 0.986 and 0.988). These findings demonstrate that naturally occurring iron oxide NWs have comparable performance to current gold standard immune-magnetic beads. The optimized immuno-specific EV enrichment for LC-MS/MS method provides a low-cost and highly-scalable yet efficient, high-throughput approach for quality EV proteomic studies.

Graphene woven fabric-polydimethylsiloxane piezoresistive films for smart multi-stimuli responses.

The outstanding properties of graphene, including its electromechanical property, could be engineered for wearable electronic sensor platforms. The tubular graphene weaved into a mesh or graphene woven fabrics (GWF) has been reported as one of the most sensitive materials for deformation detection, as well as a promising temperature sensor. Herein, we present the performance of our developed flexible, stretchable, and multiple sensitive sensors fabricated from GWF embedded in polydimethylsiloxane (PDMS) film substrate. The GWF/PDMS sensor shows a pressure sensitivity of 0.0142 kPa-1 in a wide linearity range of 0-20 kPa, an outstanding Gauge factor (GF) of 582 at a strain of 6.2 %, and a very high positive sensitivity of 0.0238 °C-1 in the temperature range of 25-80 °C. A practical application as a high sensitivity air pressure sensor able to measure low pressures (in the range of Pa to kPa) was also demonstrated. This sensor platform having desirable performance characteristics is an excellent candidate for wearable devices in the healthcare sector.

Low Risk of Occult Hepatitis B Infection among Vietnamese Blood Donors.

Occult hepatitis B infection (OBI) is characterized by the presence of low levels of hepatitis B virus (HBV) DNA and undetectable HBsAg in the blood. The prevalence of OBI in blood donors in Asia ranges from 0.013% (China) to 10.9% (Laos), with no data available from Vietnam so far. We aimed to investigate the prevalence of OBI among Vietnamese blood donors. A total of 623 (114 women and 509 men) HBsAg-negative blood donors were screened for anti-HBc and anti-HBs by ELISA assays. In addition, DNA from sera was isolated and nested PCR was performed for the HBV surface gene (S); a fragment of the S gene was then sequenced in positive samples. The results revealed that 39% (n = 242) of blood donors were positive for anti-HBc, and 70% (n = 434) were positive for anti-HBs, with 36% (n = 223) being positive for both anti-HBc and anti-HBs. In addition, 3% of blood donors (n = 19) were positive for anti-HBc only, and 34% (n = 211) had only anti-HBs as serological marker. A total of 27% (n = 170) were seronegative for any marker. Two of the blood donors (0.3%) were OBI-positive and sequencing revealed that HBV sequences belonged to HBV genotype B, which is the predominant genotype in Vietnam.

Enhanced Room-Temperature Ethanol Detection by Quasi 2D Nanosheets of an Exfoliated Polymeric Graphitized Carbon Nitride Composite-Based Patterned Sensor.

A novel room-temperature gas sensor composed of polymeric graphitic carbon nitride composite was fabricated and used for the detection of ethanol vapor under ambient conditions. Polymeric carbon nitride (PCN) microstructures composed of fluffy nanosheets were synthesized via a thermal polycondensation mechanism using melamine as the precursor, followed by vigorous chemical exfoliation. These sheet-like microstructures were employed as active materials in the form of composites, along with carbon paste consisting of graphite nanoplatelets and carbon black. The active sensing layer was fabricated on a PET sheet and assembled on an interdigitated gold electrode. The as-fabricated sensor exhibited excellent sensing efficiency (>100% response at 10 ppm) along with high selectivity and stability. In particular, for ultralow concentrations such as 1 ppm (>10% response), this resistive-based sensor exhibited a swift response time provided under ambient conditions. The exfoliated PCN composite sensor was found to be working with appreciable efficiency at moderate relative humidity (%) with the least fluctuation in response signals also demonstrating long-term stability for 30 days with consistent response signals.

Laparoscopic Surgery for Intestinal Obstruction Caused by an Internal Paracecal Hernia.

Paracecal hernia is rarely associated with ischemia and has seldom been reported in the few published studies in the review literature. We present a case of incarcerated paracecal hernia with intestinal obstruction that was effectively treated with laparoscopic intervention. A 64-year-old woman who had not previously undergone any intestinal surgery arrived complaining of abdominal pain and vomiting at our hospital. Abdominal computed tomography suggested intestinal obstruction. A laparoscopic emergency procedure demonstrated an incarcerated small bowel loop in the paracecal region. The confined small bowel was removed from the paracecal area. On the fourth postoperative day, the patient was discharged. This case is unusual because the patient presented with small bowel strangulation, leading to intestinal obstruction. Laparoscopic surgery is beneficial for diagnosing internal hernias and curing small-bowel obstructions caused by paracecal hernias.

New insights on energetic properties of graphene oxide (GO) materials and their safety and environmental risks.

Graphene oxide (GO) has been recognized as a thermally unstable and energetic material, but surprisingly its environmental and safety risks were not fully explored, defined, and regulated. In this study, systematic explosivity and flammability characterizations of commercial GO materials were conducted to evaluate the influence of key parameters such as physical forms (paste, powders, films, and aerogels), temperature, heating rate, mass, and heating environment, as well as their potential safety and environmental impacts. Results based on thermogravimetric analysis (TGA) showed that GO in paste and powder forms have lower temperature thresholds (>180-192 °C) to initiate micro-explosions compared to GO film and aerogels (> 205 °C and 213 °C) regardless of the environment (inert, air, or oxygen). The observed explosive behavior can be explained by thermal runaway reactions as a result of thermal deoxygenation and decomposition of oxygen functional groups. Flammability rating and limiting oxygen index (LOI) results confirmed that GO films are flammable materials that can spontaneously propagate flame in a low oxygen environment (~11 %). These results provided new insights about potential safety and environmental risks of GO materials, which somehow were not considered, suggesting urgent actions to improve current safety protocols for labeling, handling, transporting, and storage practices from manufacturers to the end-users.

SARS-CoV-2 viral dynamics of the first 1000 sequences from Vietnam and neighbouring ASEAN countries.

Objective: The regional distribution and transmissibility of existing COVID-19 variants of concern (VOC) has led to concerns about increasing transmission, given the ability of VOCs to evade immunity as breakthrough infections become more prevalent. Methods: SARS-CoV-2 genomes (n = 277) were sequenced and analysed alongside all available genomes from Vietnam and ASEAN countries to understand the phylodynamics. The observed lineages were assigned using Pangolin nomenclature, and spread patterns were investigated. Results: Between January and November 8, 2021, VOCs, including alpha (B.1.1.7), beta (B.1.351), gamma (P.1), and delta (B.1.617.2), were observed across the ASEAN countries. While alpha and delta were the major VOCs in nine ASEAN countries, delta was predominant. The alpha VOC was first reported by Singapore, beta by Malaysia, gamma by the Philippines, and delta by Singapore. Of the first 1000 genomes analysed from Vietnam, alpha and delta were the most represented, with delta being the dominant VOC from May 2021. The delta variant was introduced in early January 2021, and formed a large cluster within the representative genomes. Conclusion: Spatial and temporal monitoring of SARS-CoV-2 variants is critical to the understanding of viral phylodynamics, and will provide useful guidance to policy makers for infection prevention and control.

Laparoscopic Appendectomy Using the Surgical-Glove Port Through an Umbilical Incision: A Single-Center Retrospective Study.

Background Single-incision laparoscopic appendectomy (SILA) has recently emerged as a promising alternative for the management of acute appendicitis. This study aimed to compare the surgical outcomes of the SILA with those of three laparoscopic appendectomies (TLA) procedures using the existing equipment, the 10-mm laparoscope, and the surgical-glove port method. Methodology Between February 2021 and February 2022, this single-center retrospective study examined 68 patients who underwent laparoscopic appendectomy by a single surgeon. The study excluded patients with severe appendicitis, grade IV-V, following the American Association for the Surgery of Trauma classification. Clinical outcomes were analyzed, including operation time, hospital stay, postoperative pain, and postoperative morbidity. Results There were no statistically significant differences between SILA and TLA patients, respectively, in operation time (37.5 minutes vs. 35 minutes, p = 0.261) and the median duration of hospitalization (three days vs. three days, p = 0.929). There was no difference in the mean visual analog scale score between the two groups on the first day (p = 0.852), second day (p = 0.540), and the day of discharge from the hospital (p = 0.686), as well as return to diet (two days vs. two days, p = 0.053). Two (10%) cases of short-term complications in the SILA group and one (2.1%) case in the TLA group were noted. Conclusions SILA performed through a handmade surgical-glove port is a safe and viable therapy option for mild-to-moderate appendicitis. When the hospital lacks a specialized laparoscopic single-incision surgical system, this technique should be used on patients.

Laparotomy management of diaphragmatic and hollow viscera rupture combined with thoracic endovascular aortic repair after a traffic accident: A case report.

INTRODUCTION: Road traffic incidents are the most common cause of multiple organ trauma in low- and middle-income countries. Multiple blunt intra-abdominal organs that rupture in conjunction with a ruptured aorta are terrible and rare. CASE PRESENTATION: A 65-year-old man sustained critical injuries during a traffic collision between a motorcycle and truck. The Injury Severity Score was 42 points,. After open abdominal exploration, we repaired the left diaphragmatic rupture with a 13-cm-long tear of IV grade (American Association for the Surgery of Trauma), resected partial small bowel, simple suture of the transverse colon, and Hartmann procedure in the descending colon. Thoracic endovascular aortic repair (TEVAR) was performed 22 h after laparotomy. Reconstruction of the head depicting a cheekbone fracture and inferior to the left orbital bone was performed on the 14th day. The patients survived and were discharged from the hospital, at 22 days without morbidity or mortality. DISCUSSION: Diaphragmatic rupture provides a signal to relate head, thoracic, and abdominal blunt trauma. If the patient sustains more serious life-threatening injuries that require emergency laparotomy or craniotomy, and aortic repair may be delayed. Laparotomy is the best initial surgical method in this case. TEVAR is a feasible and gold standard procedure for the treatment of patients with the necessary indications. CONCLUSION: It is essential to evaluate the level of organ damage to properly coordinate the specialists. The timing of the operation and therapeutic alternatives should be decided for each patient.

Fractal Design for Advancing the Performance of Chemoresistive Sensors.

The rapid advancement of internet of things (IoT)-enabled applications along with connected automation in sensing technologies is the heart of future intelligent systems. The probable applications have significant implications, from chemical process monitoring to agriculture, mining, space, wearable electronics, industrial manufacturing, smart cities, and point-of-care (PoC) diagnostics. Advancing sensor performance such as sensitivity to detect trace amounts (ppb-ppm) of analytes (gas/VOCs), selectivity, portability, and low cost is critical for many of these applications. These advancements are mainly achieved by selecting and optimizing sensing materials by their surface functionalization and/or structural optimization to achieve favorable transport characteristics or chemical binding/reaction sites. Surprisingly, the sensor geometry, shapes, and patterns were not considered as critical parameters, and most of these sensors were designed by following simple planar and interdigitated electrode geometry. In this study, we introduce a new bioinspired fractal approach to design chemoresistive sensors with fractal geometry, which grasp the architecture of fern leaves represented by the geometric group of space-filling curves of fractal patterns. These fractal sensors were printed by an extrusion process on a flexible substrate (PET) using specially formulated graphene ink as a sensing material, which provided significant enhancement of the active surface area to volume ratio and allowed high-resolution fractal patterning along with a reduced current transportation path. To demonstrate the advantages and influence of fractal geometry on sensor performance, here, three different kinds of sensors were fabricated based on different fractal geometrics (Sierpinski, Peano, and Hilbert), and the sensing performance was explored toward different VOC analytes (e.g., ethanol, methanol, and acetone). Among all these fractal-designed sensors including interdigitate sensors, the Hilbert-designed printed sensor shows enhanced sensing properties in terms of fast response time (6 s for 30 ppm), response value (14%), enhanced detection range (5-100 ppm), high selectivity, and low interference to humidity (up to RH 80%) for ethanol at room temperature (20 °C). Moreover, a significant improvement of this sensor performance was observed by applying the mechanical deformation (positive bending) technique. The practical application of this sensor was successfully demonstrated by monitoring food spoilage using a commercial box of strawberries as a model. Based on these presented results, this biofractal biomimetic VOC sensor is demonstrated for a prospective application in food monitoring.

Efficacy of laparoscopic-assisted pancreaticoduodenectomy in Vietnamese patients with periampullary of Vater malignancies: A single-institution prospective study.

INTRODUCTION: Minimally invasive pancreaticoduodenectomy is a technically complex technique, that is being used to treat periampullary malignancy. We provide our experience with laparoscopic-assisted pancreaticoduodenectomy (LAPD) with statistics on the outcomes of periampullary cancer patients. MATERIAL AND METHOD: Thirty patients underwent surgery between June 1, 2016 and May 30, 2020, with 21 undergoing classical PD and 9 undergoing pylorus-preserving pancreaticoduodenectomy (PPPD). Prospectively gathered data on surgical outcomes and long-term oncological results are given. RESULTS: The median operative time was 277.5 min (range, 258.7-330 min), and the median intraoperative estimated blood loss was 319.5 mL (range, 241.2-425 mL). The rate of conversion to OPD, surgical reintervention, and mortality was 20%, 13.3%, and 10% respectively. Cumulative surgery-related morbidity was 33.4%, including bleeding (n = 4), severe POPF (n = 4), biliary fistula (n = 1), DGE (n = 2), and intestinal obstruction (n = 1). Pathologic diagnoses were AoV cancer (n = 23), distal CBD cancer (n = 4), PDAC (n = 2), and AoV NET (n = 1). The mean survival time of the LAPD group was 29.9 months. The long-term survival time of the N0 group was 36.8 months, which was significantly longer than that of the N1 group. The long-term survival times of stages I-B, II-A, and II-B were 36.9, 26.5, and 15.7 months, respectively (p = 0.016). CONCLUSION: LAPD has a high rate of conversion to OPD, morbidity, and mortality. However, LPD is feasible technique for highly selected patients. Lymph node metastasis and stage of disease are the risk factors for long-term survival.

Converging 2D Nanomaterials and 3D Bioprinting Technology: State-of-the-Art, Challenges, and Potential Outlook in Biomedical Applications.

The development of next-generation of bioinks aims to fabricate anatomical size 3D scaffold with high printability and biocompatibility. Along with the progress in 3D bioprinting, 2D nanomaterials (2D NMs) prove to be emerging frontiers in the development of advanced materials owing to their extraordinary properties. Harnessing the properties of 2D NMs in 3D bioprinting technologies can revolutionize the development of bioinks by endowing new functionalities to the current bioinks. First the main contributions of 2D NMS in 3D bioprinting technologies are categorized here into six main classes: 1) reinforcement effect, 2) delivery of bioactive molecules, 3) improved electrical conductivity, 4) enhanced tissue formation, 5) photothermal effect, 6) and stronger antibacterial properties. Next, the recent advances in the use of each certain 2D NMs (1) graphene, 2) nanosilicate, 3) black phosphorus, 4) MXene, 5) transition metal dichalcogenides, 6) hexagonal boron nitride, and 7) metal-organic frameworks) in 3D bioprinting technology are critically summarized and evaluated thoroughly. Third, the role of physicochemical properties of 2D NMSs on their cytotoxicity is uncovered, with several representative examples of each studied 2D NMs. Finally, current challenges, opportunities, and outlook for the development of nanocomposite bioinks are discussed thoroughly.

Long- and short-term survival following laparoscopic and open pancreaticoduodenectomy for patients with periampullary tumors in Vietnam.

BACKGROUND: Laparoscopic pancreaticoduodenectomy (LPD) is a less invasive alternative to the traditional open pancreaticoduodenectomy (OPD) approach used to treat periampullary tumors. However, previous studies examining the advantages of this surgery over OPD have produced mixed results. Here, a retrospective observational approach was used to compare the short- and long-term outcomes of patients with periampullary tumors who underwent LPD or OPD at a single institution in Vietnam. MATERIALS AND METHODS: Data were obtained from hospital medical records collected over five years from patients that underwent OPD or LPD. Information on demographics, medical status, tumor characteristics, operative variables, complications, and mortality was examined. Survival curves were constructed and the stepwise multivariate Cox proportional hazard model was used to identify the factors associated with the risk of death following surgery. RESULTS: Eighty-four patients aged 26-80 years were included. Twenty-two patients underwent LPD and 62 received OPD. The operative time for the LPD group was significantly longer than that for the OPD group, and the LPD group was less likely to require a blood transfusion during surgery. While the short- and long-term survival rates did not differ for the procedures, the factors associated with the risk of death following surgery were tumors at the N1 stage and an age >65 years. CONCLUSION: Both LPD and OPD procedures for treating periampullary tumors exhibited comparable safety profiles, with similar short-term outcomes and long-term survival rates observed. Future studies with a larger sample size should be conducted to further examine the treatment outcomes following these surgical approaches.

Functionalization of remote sensing and on-site data for simulating surface water dissolved oxygen: Development of hybrid tree-based artificial intelligence models.

Dissolved oxygen (DO) is an important indicator of river health for environmental engineers and ecological scientists to understand the state of river health. This study aims to evaluate the reliability of four feature selector algorithms i.e., Boruta, genetic algorithm (GA), multivariate adaptive regression splines (MARS), and extreme gradient boosting (XGBoost) to select the best suited predictor of the applied water quality (WQ) parameters; and compare four tree-based predictive models, namely, random forest (RF), conditional random forests (cForest), RANdom forest GEneRator (Ranger), and XGBoost to predict the changes of dissolved oxygen (DO) in the Klang River, Malaysia. The total features including 15 WQ parameters from monitoring site data and 7 hydrological components from remote sensing data. All predictive models performed well as per the features selected by the algorithms XGBoost and MARS in terms applied statistical evaluators. Besides, the best performance noted in case of XGBoost predictive model among all applied predictive models when the feature selected by MARS and XGBoost algorithms, with the coefficient of determination (R2) values of 0.84 and 0.85, respectively, nonetheless the marginal performance came up by Boruta-XGBoost model on in this scenario.