Temperature-dependent hydration behavior of aqueous lysine: an approach towards protein binding through dielectric spectroscopy.

Present work reports interaction between water and amino acid lysine for understanding the physicochemical properties that will be useful in the structure formation of protein. The dielectric relaxation of aqueous lysine was systematically investigated over a temperature range spanning from 298.15 K to 278.15 K, encompassing frequencies ranging from 10 MHz to 30 GHz, and across a concentration range of 0.152 M to 0.610 M. Within this study, aqueous lysine revealed the presence of two distinct relaxation modes. The low-frequency relaxation process (l-process) is primarily associated with the relaxation of lysine molecules, whereas the high-frequency relaxation process (h-process) is attributed to water molecules interacting with lysine. Several key dielectric parameters, including static dielectric constant (εj), relaxation time (τj), dipole moment (µj), correlation factor (gj), and the number of water molecules rotationally bonded by solute molecules (Zib), were meticulously determined. These parameters were interpreted in terms of molecular interactions, hydrogen bonding, hydrophobicity, and Lys-Lys binding. Additionally, various thermodynamic parameters such as molar enthalpy (ΔHj), molar entropy (ΔSj), and molar free energy (ΔFj) were calculated to provide further insights into the system's characteristics and behavior.Communicated by Ramaswamy H. Sarma.

Water dynamics on the structural properties of some NSAID's with leucine in the picosecond region using time domain spectroscopy.

Concentration-dependent dielectric response for non-steroidal anti-inflammatory drugs (NSAIDs): Aceclofenac (ACF) and Diclofenac (DCF) in the aqueous leucine solution have been reported at different concentrations and temperatures (298.15 K to 283.15 K). The time domain reflectometry technique in the frequency region of 1 GHz to 30 GHz was used for the present study. Complex permittivity (ε*), static dielectric constant (ε), dielectric relaxation time (τ), dipole moment (µ) and Kirkwood correlation factor (g) have been calculated and discussed in terms of the molecular interaction of water and the used drugs. To give more insights into the structural dynamics of drug-induced amino acids, the study includes molar enthalpy of activation (ΔH), entropy of activation (ΔS), and free energy of activation (ΔF). The overall study concludes that the drug (DCF) having a potent inhibitor of cyclooxygenase found a higher static dielectric constant (ε0) than that of the drug (ACF) having more carbon (C), hydrogen (H), and oxygen (O) in the chain, which is more efficient in controlling pain.Communicated by Ramaswamy H. Sarma.

Ventilatory Failure And Pulmonary Embolism In Covid-19 Requiring Enhanced Venous Drainage For Extracorporeal Membrane Oxygenation.

COVID-19 infection manifests as a spectrum of respiratory and vascular complications, including acute respiratory distress syndrome (ARDS) and pulmonary embolism. Herein, we describe a case of a healthy young male who presented with ARDS refractory to mechanical ventilation and concomitant bilateral pulmonary emboli managed with extracorporeal membrane oxygenation (ECMO) and embolectomy. The embolectomy and initial veno-venous ECMO configuration failed to correct the patient's hypoxemia despite maximal flows. This was thought to be due to a high-output state secondary to vasodilatory shock preventing adequate drainage from the existing single drainage ECMO cannulation, following which a second venous cannula was placed to form a unique veno-veno-venous ECMO circuit that resolved the persistent hypoxemia. The case underscores the importance of identifying embolic events and vasodilatory shock in COVID-19 patients, both of which need to be addressed simultaneously to avoid worsening right ventricular failure (via both mechanical and hypoxia-driven pathways) and the resulting veno-arterial ECMO along with its associated complications.

Application of Artificial Intelligence/Machine Vision & Learning for the Development of a Live Single-cell Phenotypic Biomarker Test to Predict Prostate Cancer Tumor Aggressiveness.

To assess the usefulness and applications of machine vision (MV) and machine learning (ML) techniques that have been used to develop a single cell-based phenotypic (live and fixed biomarkers) platform that correlates with tumor biological aggressiveness and risk stratification, 100 fresh prostate samples were acquired, and areas of prostate cancer were determined by post-surgery pathology reports logged by an independent pathologist. The prostate samples were dissociated into single-cell suspensions in the presence of an extracellular matrix formulation. These samples were analyzed via live-cell microscopy. Dynamic and fixed phenotypic biomarkers per cell were quantified using objective MV software and ML algorithms. The predictive nature of the ML algorithms was developed in two stages. First, random forest (RF) algorithms were developed using 70% of the samples. The developed algorithms were then tested for their predictive performance using the blinded test dataset that contained 30% of the samples in the second stage. Based on the ROC (receiver operating characteristic) curve analysis, thresholds were set to maximize both sensitivity and specificity. We determined the sensitivity and specificity of the assay by comparing the algorithm-generated predictions with adverse pathologic features in the radical prostatectomy (RP) specimens. Using MV and ML algorithms, the biomarkers predictive of adverse pathology at RP were ranked and a prostate cancer patient risk stratification test was developed that distinguishes patients based on surgical adverse pathology features. The ability to identify and track large numbers of individual cells over the length of the microscopy experimental monitoring cycles, in an automated way, created a large biomarker dataset of primary biomarkers. This biomarker dataset was then interrogated with ML algorithms used to correlate with post-surgical adverse pathology findings. Algorithms were generated that predicted adverse pathology with >0.85 sensitivity and specificity and an AUC (area under the curve) of >0.85. Phenotypic biomarkers provide cellular and molecular details that are informative for predicting post-surgical adverse pathologies when considering tumor biopsy samples. Artificial intelligence ML-based approaches for cancer risk stratification are emerging as important and powerful tools to compliment current measures of risk stratification. These techniques have capabilities to address tumor heterogeneity and the molecular complexity of prostate cancer. Specifically, the phenotypic test is a novel example of leveraging biomarkers and advances in MV and ML for developing a powerful prognostic and risk-stratification tool for prostate cancer patients.

Dielectric Relaxation and Hydration Interactions for Protic and Aprotic Ionic Liquids using Time Domain Reflectometry.

H-Bonding abilities of ionic liquids (ILs) along with hydrophobicity and cooperativity effects increases their hydration numbers making them capable for dissolving sparingly soluble organic molecules in aqueous or polar nonaqueous media, and hence ILs are potential candidates in pharmaceutical and medicinal sciences besides the different technological and academic interests. In this work, dielectric spectra were measured and analyzed for diethylammonium-based protic ionic liquids (PILs), imidazolium-based aprotic ionic liquids (APILs), and their aqueous solutions (∼0.02 to ∼0.8 mol·dm-3) over a frequency range from 0.01 to 50 GHz using time domain reflectometry at 298.15 K. The Cole-Cole (CC) model for neat ILs and a combination of the Debye and Cole-Cole (D+CC) models for their aqueous solutions best describes the experimental dielectric relaxation spectra. Higher values of static permittivity and relaxation time were observed for less viscous PILs compared to more viscous APILs due to the existence of hydrogen bonding in PILs, ionic translational motion, and the existence of transient, short-lived proton transfer responsible for solvent polarization. For aqueous solutions of ionic liquids, the fast collective relaxation of solvent (bulk water) observed at higher frequencies (∼20 GHz) and slow relaxation is detected at lower frequency (∼5 to ∼10 GHz) due to hydrophobic hydration with or without cooperative H-bonding effect. The apparent concentrations of bulk water, cbwap, and slow water, cswap, were used to obtain effective hydration numbers to understand the ion solvation. Hydration numbers revealed that imidazolium-based APILs are weakly hydrated than the diethylammonium-based PILs. Static permittivity and relaxation time of pure ILs and of aqueous solutions of studied ILs are discussed in terms of effect on alkyl chain length of cation/anion, H-bonding abilities of ions, dipole moments of ions, viscosity, hydrophobic effects, etc.

Clinical Proof-of-concept of a Novel Platform Utilizing Biopsy-derived Live Single Cells, Phenotypic Biomarkers, and Machine Learning Toward a Precision Risk Stratification Test for Prostate Cancer Grade Groups 1 and 2 (Gleason 3 + 3 and 3 + 4).

OBJECTIVE: To examine the ability of a novel live primary-cell phenotypic (LPCP) test to predict postsurgical adverse pathology (P-SAP) features and risk stratify patients based on SAP features in a blinded study utilizing radical prostatectomy (RP) surgical specimens. METHODS: Two hundred fifty-one men undergoing RP were enrolled in a prospective, multicenter (10), and proof-of-concept study in the United States. Fresh prostate samples were taken from known areas of cancer in the operating room immediately after RP. Samples were shipped and tested at a central laboratory. Utilizing the LPCP test, a suite of phenotypic biomarkers was analyzed and quantified using objective machine vision software. Biomarkers were objectively ranked via machine learning-derived statistical algorithms (MLDSA) to predict postsurgical adverse pathological features. Sensitivity and specificity were determined by comparing blinded predictions and unblinded RP surgical pathology reports, training MLDSAs on 70% of biopsy cells and testing MLDSAs on the remaining 30% of biopsy cells across the tested patient population. RESULTS: The LPCP test predicted adverse pathologies post-RP with area under the curve (AUC) via receiver operating characteristics analysis of greater than 0.80 and distinguished between Prostate Cancer Grade Groups 1, 2, and 3/Gleason Scores 3 + 3, 3 + 4, and 4 + 3. Further, LPCP derived-biomarker scores predicted Gleason pattern, stage, and adverse pathology with high precision-AUCs>0.80. CONCLUSION: Using MLDSA-derived phenotypic biomarker scores, the LPCP test successfully risk stratified Prostate Cancer Grade Groups 1, 2, and 3 (Gleason 3 + 3 and 7) into distinct subgroups predicted to have surgical adverse pathologies or not with high performance (>0.85 AUC).

Live-cell phenotypic-biomarker microfluidic assay for the risk stratification of cancer patients via machine learning.

The risk stratification of prostate cancer and breast cancer tumours from patients relies on histopathology, selective genomic testing, or on other methods employing fixed formalin tissue samples. However, static biomarker measurements from bulk fixed-tissue samples provide limited accuracy and actionability. Here, we report the development of a live-primary-cell phenotypic-biomarker assay with single-cell resolution, and its validation with prostate cancer and breast cancer tissue samples for the prediction of post-surgical adverse pathology. The assay includes a collagen-I/fibronectin extracellular-matrix formulation, dynamic live-cell biomarkers, a microfluidic device, machine-vision analysis and machine-learning algorithms, and generates predictive scores of adverse pathology at the time of surgery. Predictive scores for the risk stratification of 59 prostate cancer patients and 47 breast cancer patients, with values for area under the curve in receiver-operating-characteristic curves surpassing 80%, support the validation of the assay and its potential clinical applicability for the risk stratification of cancer patients.

Improving the Diagnosis of Scrub Typhus by Combining groEL Based Polymerase Chain Reaction and IgM ELISA.

INTRODUCTION: Scrub typhus, an acute febrile illness, caused by Orientia tsutsugamushi, is an important cause of pyrexia of unknown origin in regions of endemicity. This disease is mostly underdiagnosed or misdiagnosed, the reasons for this being a combination of factors which include clinical manifestations that can mimic other infections, lack of easy and reliable diagnostic methods and variation among strains in endemic areas. Hence, easy and reliable methods of diagnosis will contribute to rapid identification and treatment of the infection. AIM: The aim of the study was to compare four different methods of detection of scrub typhus and to identify one single test or a combination of tests detecting maximum number of cases. MATERIALS AND METHODS: One hundred and forty-five suspected scrub typhus cases were included in this study. Duration of fever and presence of eschar in each patient was noted down. Enzyme-Linked Immunosorbent Assay (ELISA) to detect Immunoglobulin M (IgM) antibodies and Polymerase Chain Reaction (PCR) to detect three genes of Orientia, namely, 56 kDa, 16S rRNA, and groEL were done on these samples. The results of each test were analyzed to identify the test picking up maximum number of positive samples. Statistical analysis was performed using Chi-square test. The level of significance was set at p<0.05. RESULTS: These tests showed that IgM ELISA (93%) and PCR (68%) picked up maximum number of positives. Statistical analysis performed using Chi-square test between the diagnostic assays showed that the p - value <0.001 was significant for IgM ELISA. Among the molecular markers, p-value was significant (<0.001) for groEL PCR. Further analysis of eschar positivity and duration of fever also showed that groEL PCR could detect DNA of the bacterium even in cases with 10 days of fever and this PCR was the best among the molecular markers used to detect the infection. CONCLUSION: This study suggests that IgM detection by ELISA and conventional groEL PCR, either in combination or alone, depending on the duration of fever, would enhance the diagnosis of scrub typhus.

Rapid and Short-term Extracellular Matrix-mediated In Vitro Culturing of Tumor and Nontumor Human Primary Prostate Cells From Fresh Radical Prostatectomy Tissue.

OBJECTIVE: To culture prostate cells from fresh biopsy core samples from radical prostatectomy (RP) tissue. Further, given the genetic heterogeneity of prostate cells, the ability to culture single cells from primary prostate tissue may be of importance toward enabling single-cell characterization of primary prostate tissue via molecular and cellular phenotypic biomarkers. METHODS: A total of 260 consecutive tissue samples from RPs were collected between October 2014 and January 2016, transported at 4°C in serum-free media to an off-site central laboratory, dissociated, and cultured. A culture protocol, including a proprietary extracellular matrix formulation (ECMf), was developed that supports rapid and short-term single-cell culture of primary human prostate cells derived from fresh RP samples. RESULTS: A total of 251 samples, derived from RP samples, yielded primary human tumor and nontumor prostate cells. Cultured cells on ECMf exhibit (1) survival after transport from the operating room to the off-site centralized laboratory, (2) robust (>80%) adhesion and survival, and (3) expression of different cell-type-specific markers. Cells derived from samples of increasing Gleason score exhibited a greater number of focal adhesions and more focal adhesion activation as measured by phospho-focal adhesion kinase (Y397) immunofluorescence when patient-derived cells were cultured on ECMf. Increased Ki67 immunofluorescence levels were observed in cells derived from cancerous RP tissue when compared to noncancerous RP tissue. CONCLUSION: By utilizing a unique and defined extracellular matrix protein formulation, tumor and nontumor cells derived from primary human prostate tissue can be rapidly cultured and analyzed within 72 hours after harvesting from RP tissue.

Relaxation dynamics and thermophysical properties of vegetable oils using time-domain reflectometry.

Dielectric relaxation studies of vegetable oils are important for insights into their hydrogen bonding and intermolecular dynamics. The dielectric relaxation and thermo physical properties of triglycerides present in some vegetable oils have been measured over the frequency range of 10 MHz to 7 GHz in the temperature region 25 to 10 °C using a time-domain reflectometry approach. The frequency and temperature dependence of dielectric constants and dielectric loss factors were determined for coconut, peanut, soya bean, sunflower, palm, and olive oils. The dielectric permittivity spectra for each of the studied vegetable oils are explained using the Debye model with their complex dielectric permittivity analyzed using the Havriliak-Negami equation. The dielectric parameters static permittivity (ε 0), high-frequency limiting static permittivity (ε ∞), average relaxation time (τ 0), and thermodynamic parameters such as free energy (∆F τ), enthalpy (∆H τ), and entropy of activation (∆S τ) were also measured. Calculation and analysis of these thermodynamic parameters agrees with the determined dielectric parameters, giving insights into the temperature dependence of the molecular dynamics of these systems.

α-Actinin links extracellular matrix rigidity-sensing contractile units with periodic cell-edge retractions.

During spreading and migration, the leading edges of cells undergo periodic protrusion-retraction cycles. The functional purpose of these cycles is unclear. Here, using submicrometer polydimethylsiloxane pillars as substrates for cell spreading, we show that periodic edge retractions coincide with peak forces produced by local contractile units (CUs) that assemble and disassemble along the cell edge to test matrix rigidity. We find that, whereas actin rearward flow produces a relatively constant force inward, the peak of local contractile forces by CUs scales with rigidity. The cytoskeletal protein α-actinin is shared between these two force-producing systems. It initially localizes to the CUs and subsequently moves inward with the actin flow. Knockdown of α-actinin causes aberrant rigidity sensing, loss of CUs, loss of protrusion-retraction cycles, and, surprisingly, enables the cells to proliferate on soft matrices. We present a model based on these results in which local CUs drive rigidity sensing and adhesion formation.

Clinical presentation, management, in-hospital and 90-day outcomes of heart failure patients in Trivandrum, Kerala, India: the Trivandrum Heart Failure Registry.

OBJECTIVE: To evaluate the presentation, management, and outcomes of patients hospitalized for heart failure (HF) in Trivandrum, India. METHODS: The Trivandrum Heart Failure Registry (THFR) enrolled consecutive admissions from 13 urban and five rural hospitals in Trivandrum with a primary diagnosis of HF from January to December 2013. Clinical characteristics at presentation, treatment, in-hospital outcomes, and 90-day mortality data were collected. 'Guideline-based' medical treatment was defined as the combination of beta-blockers, angiotensin-converting enzyme inhibitors or angiotensin receptor blockers, and aldosterone receptor blockers in patients with left ventricular systolic dysfunction (LVSD). RESULTS: We enrolled 1205 cases (834 men, 69%) into the registry. Mean (standard deviation) age was 61.2 (13.7) years. The most common HF aetiology was ischaemic heart disease (IHD) (72%). Heart failure with preserved ejection fraction (≥45%) constituted 26% of the population. The median hospital stay was 6 days (interquartile range = 4-9 days) with an in-hospital mortality rate of 8.5% (95% confidence interval 6.9-10.0). The 90-day all-cause mortality rate was 2.43 deaths per 1000 person-days (95% confidence interval 2.11-2.78). Guideline-based medical treatment was given to 19% and 25% of patients with LVSD during hospital admission and at discharge, respectively. Older age, lower education, poor ejection fraction, higher serum creatinine, New York Heart Association functional class IV, and suboptimal medical treatment were associated with higher risk of 90-day mortality. CONCLUSION: Patients hospitalized with HF in the THFR were younger, more likely to be men, had a higher prevalence of IHD, reported longer length of hospital stay, and higher mortality compared with published data from other registries. We also identified key areas for improving hospital-based HF medical care in Trivandrum.

Effect of early versus delayed cord clamping on hematological status of preterm infants at 6 wk of age.

OBJECTIVE: To compare the effect of early cord clamping (ECC) vs. delayed cord clamping (DCC) on hematocrit and serum ferritin at 6 wk of life in preterm infants. METHODS: This randomized controlled trial was conducted in the delivery room and neonatal intensive care unit of a tertiary hospital. One hundred preterm infants born between 30 (0)/7 and 36 (6)/7 wk were randomized to either early or delayed cord clamping groups. Parental informed consent was obtained prior to the delivery. In the ECC group, the cord was clamped immediately after the delivery of the baby and in the DCC group; the cord was clamped beyond 2 min after the baby was delivered. Hematocrit and serum ferritin at 6 wk of life were the primary outcomes. Incidence of anemia, polycythemia and significant jaundice were the main secondary outcomes. RESULTS: The mean hematocrit (27.3 ± 3.8 % vs. 31.8 ± 3.5 %, p value 0.00) and the mean serum ferritin (136.9 ± 83.8 ng/mL vs. 178.9 ± 92.8 ng/mL, p value 0.037) at 6 wk of age were significantly higher in the infants randomized to DCC group. The hematocrit on day 1 was also significantly higher in the DCC group (50.8 ± 5.2 % vs. 58.5 ± 5.1 %, p value 0.00). The DCC group required significantly longer duration of phototherapy (55.3 ± 40.0 h vs. 36.7 ± 32.6 h, p value 0.016) and had a trend towards higher risk of polycythemia. CONCLUSIONS: Delaying the cord clamping by 2 min, significantly improves the hematocrit value at birth and this beneficial effect continues till at least 2nd mo of life.

In utero fuel homeostasis: Lessons for a clinician.

Fetus exists in a complex, dynamic, and yet intriguing symbiosis with its mother as far as fuel metabolism is concerned. Though the dependence on maternal fuel is nearly complete to cater for its high requirement, the fetus is capable of some metabolism of its own. The first half of gestation is a period of maternal anabolism and storage whereas the second half results in exponential fetal growth where maternal stores are mobilized. Glucose is the primary substrate for energy production in the fetus though capable of utilizing alternate sources like lactate, ketoacids, amino acids, fatty acids, and glycogen as fuel under special circumstances. Key transporters like glucose transporters (GLUT) are responsible for preferential transfers, which are in turn regulated by complex interaction of maternal and fetal hormones. Amino acids are preferentially utilized for growth and essential fatty acids for development of brain and retina. Insulin, insulin like growth factors, glucagon, catecholamines, and letpin are the hormones implicated in this fascinating process. Hormonal regulation of metabolic substrate utilization and anabolism in the fetus is secondary to the supply of nutrient substrates. The knowledge of fuel homeostasis is crucial for a clinician caring for pregnant women and neonates to manage disorders of metabolism (diabetes), growth (intrauterine growth restriction), and transitional adaptation (hypoglycemia).

Expressed breast milk vs 25% dextrose in procedural pain in neonates, a double blind randomized controlled trial.

OBJECTIVE: To compare the effect of expressed breast milk (EBM), 25% dextrose (25 D) and sterile water (SW) on procedural pain in neonates as assessed by the premature infant pain profile (PIPP), changes in heart rate (HR), oxygen saturation (SpO2) and duration of crying. DESIGN: Prospective, double blind, randomized controlled trial. SETTING: Postnatal ward of a tertiary-care hospital. PARTICIPANTS: 210 babies who required venipuncture for blood sampling and who were on oral feeds were recruited into the study after parental informed consent. METHODS: The enrolled babies were randomized into intervention groups (EBM, 25% dextrose) and control group (sterile water). Two ml of test solution was given to baby by paladay (a traditional cup with a spout) 2 min before venipuncture. The face and crying of baby were video graphed by an independent, blinded observer. The facial response to pain (brow bulge, eye squeeze, nasolabial furrow) was analysed from the video. Maximum HR and minimum SpO2 were recorded during, and 1, 3 and 5 min after venipuncture by another blinded observer. OUTCOME VARIABLE: PIPP score, HR, SpO2 and crying time at 0/1/3/5 min after sampling. RESULTS: 160 babies were considered for final analysis with 50 in 25 D, 62 in EBM and 48 in SW group. The mean PIPP score in the 3 groups were 5.22, 6.84 and 11.22 at 0-30 sec after venipuncture; 4.52, 6.34, and 10.88 at 1-1½ min; 3.96, 6.15 and 9.35 at 3-3½ min; and 3.12, 4.68 and 7.83 at 5-5½ min; respectively (P<0.001). The median crying time was 10, 37.5 and 162 seconds in 25 D, EBM and SW groups, respectively (P<0.001). CONCLUSIONS: EBM significantly reduces procedural pain in neonates though to a lesser extent as compared to 25% dextrose.

Formulation and evaluation of chitosan solid lipid nanoparticles of carbamazepine.

The present work aims at preparing aqueous suspension of Solid lipid Nanoparticles containing Chitosan (CT) which is a biopolymer that exhibits a number of interesting properties which include controlled drug delivery. Carbamezapine (CBZ) is a lipophilic drug which shows it antiepileptic activity by inactivating sodium channels. The solid lipid Nanoparticles (SLN) of Chitosan-CBZ were prepared by using solvent injection method using ethanol as organic solvent. The prepared SLN formulations exhibited high encapsulation efficiency, high physical stability. The drug incorporated SLNs have demonstrated that the controlled release patterns of the drug for prolonged period. The prepared SLNs were characterized for surface morphology by SEM analysis, entrapment efficiency, zeta potential, FTIR, DSC and In-vitro diffusion studies. The hydrodynamic mean diameter and zeta potential were 168.7 ± 1.8 nm and -28.9 ± 2.0 mV for SLN-chitosan-CBZ respectively. Therefore chitosan-SLN can be good candidates to encapsulate CBZ and to increase its therapeutic efficacy in the treatment of Epilepsy.

A retrospective study of 75 cases of splenic abscess.

Splenic abscess is an uncommon and life-threatening condition. Due to its nonspecific clinical picture, it remains a diagnostic challenge. Multiple radiological modalities are used for the diagnosis. In this retrospective study we analyzed 75 patients treated between 1999 and 2009. The patients were divided into three groups depending on the treatment received. Group I (n = 14) consisted of patients treated with only antibiotics, Group II (n = 19) patients were treated with percutaneous drainage and Group III (n = 42) with splenectomy. We tried to establish epidemiologic and clinical features and therapeutic options in splenic abscess. Our study suggests that percutaneous drainage is a safe and effective alternative to surgery especially in unilocular or bilocular abscesses thus allowing preservation of the spleen. It should be considered as the first line of treatment although splenectomy remains the final definitive procedure if percutaneous drainage fails.

Structural behavior of alcohol-1,4-dioxane mixtures through dielectric properties using TDR.

The values of complex permittivity for alcohol-1,4-dioxane (DX) mixtures with various concentrations have been determined in the frequency range 10 MHz to 20 GHz using the time domain reflectometry (TDR) method. Numbers of hydrogen bonds between alcohol-alcohol and alcohol-dioxane pairs are estimated from the values of the static dielectric constant by using the Luzar model. The model provides a satisfactory explanation of the experimental results related to the static dielectric constant. The binding energies for alcohol-alcohol (pair 11) and alcohol-DX (pair 12) are estimated to be -13.98 and -16.25 kJ/mol, respectively. The results have also been compared with previous results of the ethyleneglycol-DX system.