bluuebunny/crossref_metadata_2025 huggingface dataset:
Social distancing and mental health among pregnant women during the coronavirus pandemic
Authors: Harville Emily W. , Wood Moira E. , Sutton Elizabeth
Published: October 2022

Background
The effect of social distancing due to the COVID-19 pandemic on the mental health of pregnant women is of particular concern, given potential effects on physical health, family functioning, and child development.
Methods
Pregnant women were recruited for the “Implications of and Experiences Surrounding being Pregnant during the COVID-19 Pandemic” study at Woman’s Hospital in Baton Rouge, Louisiana. Participants enrolled at any point during their pregnancy and surveys were delivered weekly until the participant indicated that she had delivered her baby; a postpartum survey followed four weeks after delivery. This analysis includes 1037 participants with baseline, 596 with follow-up, and 302 with postpartum surveys. Questions on social distancing behaviors were asked at baseline and grouped based on whether they involved social distancing from work, friends and family, or public places. Symptoms of anxiety, stress, depression, and pregnancy-related anxiety were measured. Each type of social distancing was examined as a predictor of mental health using linear model with control for confounders.
Results
The study population was largely white, married, and educated. Women who were younger, Black, single, or had less education or income reported fewer social distancing behaviors. After controlling for covariates, anxiety was associated with social distancing from friends and family and public events, while perceived stress postpartum and pregnancy-related stress were not associated with social distancing. Associations were substantially diminished when controlled for baseline levels of anxiety symptoms.
Conclusions
Greater social distancing was associated with more mental health symptoms, but worse mental health, particularly anxiety, may also have contributed to greater social distancing behaviors.
Morphological Analysis of Blue Swimming Crab (Portunus pelagicus) Populations From Nine Fishing Grounds in the Philippines through Landmark-based Geometric Morphometrics
Authors: Abesamis Juan Gabriel T. , Tengco Maria Theresa T. , Santos Brian S.
Published: October 2022

The blue swimming crab (BSC) is one of the Philippines’ major fishery exports. It is a highly valued commodity, having an annual yield of 27,500 metric tons from 2010-2019. The discovery of a putative cryptic species of Portunus pelagicus in previous studies based on cytochrome c oxidase subunit 1 (COI) sequences complicates the assessment of its genetic diversity, which is of importance in designing effective and efficient management plans for this economically-important species. In this study, landmark-based geometric morphometrics was used to examine shape variation between two pre-identified clades of the blue swimming crab Portunus pelagicus. Samples were obtained from various fishing grounds in the Philippines. Shape differences between clades were significant based on multivariate analysis of variance. The distinction was not clear though due to overlaps observed in the canonical variate analysis plot and the considerable misclassification rate. This was attributed to possible effects of sexual dimorphism on morphological analysis of the clades. Although shape variation was observed, the protocols will have to be refined further to effectively diagnose the different clades based on morphology.
Improving the Performance of NSGA III using Latin Hypercube Sampling
Authors: Jain Shilpi , Dubey Kamlesh Kumar
Published: October 2022

Performance of multi-objective optimization techniques mainly depends on the convergence and the diversity of obtained Pareto-optimal solutions. A well-known non-dominated sorting genetic algorithm-III (NSGA-III) is a meta-heuristic multi-objective optimization technique which generates the Pareto-optimal solutions through various steps such as population initialization and genetic operations including the crossover, mutation, non-dominated sorting and selection on the basis of generated reference points. The core objective of presented paper is to integrate the Latin hypercube sampling (LHS) in NSGA-III as population initialization method for improving the performance of NSGA-III. LHS has the ability to produce a clear depiction of each input distribution, devoid of sampling artifacts. To reveal the applicability of LHS-NSGA-III algorithm, a construction case study is solved for time-cost-safety-quality trade-off optimization. 13 performance metrics were selected and measured to compare the convergence and diversity of Pareto-optimal solutions generated by original NSGA-III and LHS-NSGA-III. Results of the paper indicate that the LHS based NSGA-III provides better Pareto-optimal solutions than original NSGA-III.
MHD flow of generalized Casson fluid with radiation and porosity under the effects of chemical reaction and arbitrary shear stress
Authors: Sehra Sehra , Sadia Haleema , Haq Sami Ul , Khan Ilyas
Published: October 2022

This recent research article is presented to describe the mass and heat transference in a non-Newtonian Casson fluid, flowing in a medium having porosity. The magnetic-hydrodynamic and exponential heating effects are considered during the fluid flow. The effects of radiation and molecular diffusivity i.e. chemical reaction are investigated with slip boundary condition and exponential heating. The stated problem is patterned by three partial differential equations of classical order with suitable initial and boundary conditions. The component equations of the problem are converted into a non-dimension form by introducing some suitable dimensionless parameters. The partial differential equations PDE’s of classical order are converted into non-integer order by using the non-integer order derivative proposed by Michele Caputo and Mauro Fabrizio. The technique of Laplace transform is used for obtaining the problem’s solutions. Obtained solutions are graphically represented to observe the effects of different parameters on velocity, mass and temperature during fluid flow. The software MathCAD is used for the visualization of the effects.
Constrained large-eddy simulation of laminar-turbulent transition in compressible channel flow
Authors: Chen Sanmu , Wan Minping , Jiang Zhou , Chen Shiyi
Published: October 2022

An improved constrained large-eddy simulations (CLES) for wall-bonded compressible transitional flows is proposed by introducing an intermittency factor. The improved model is tested and validated with a compressible channel flow that is transitioning from laminar to turbulent states. The improved model is
compared against traditional dynamics Smagorinsky model (DSM) and Direct Numerical Simulations (DNS), where the improved model is in better agreement with DNS results than traditional DSM model, in terms of mean velocity profiles, total Reynolds stress and total heat flux. Therefore, the proposed method can be
used to accurately predict the laminar-turbulent transition process of compressible wall-bounded flows.
Challenge of creating an inferior alveolar nerve block device that allows for safe, secure, and successful performance by any operator: Non-clinical studies on models
Authors: Noguchi Tomoyasu , Odaka Kento , Fukuda Ken-ichi
Published: October 2022

Purpose
Inferior alveolar nerve block (IANB) is a useful nerve block in dental practice, but its success rate remains limited. This is largely attributed to operator and anatomical factors. There are some dentists who do not choose IANB owing to complications. Therefore, we conducted a pilot study that aimed to create an IANB device that allows for safe, secure, and successful performance by any operator.
Methods
In this study, three types of IANB devices were created for a skull model as a pilot study for clinical applications. They were designed with the dentition as a fixed point, and mandibular foramen as a target point. The dentition and jawbone were converted into data using an intraoral scanner and computed tomography imaging, respectively. A device was designed from the obtained data and output using a 3D printer. We verified the production time, material usage, and accuracy, and discussed the potential for clinical applications.
Results
The average time required for printing was 201 minutes. The average amount of biocompatible resin and support material used was 36 g and 52.3 g, respectively. The error between the actual needle tip position of the completed device and the needle tip position at the time of design was 0.63 mm on average.
Conclusion
IANB device created in this study requires more time and has higher costs than conventional IANB; however, it has sufficient accuracy for clinical applications, and potential for a safe and secure IANB that can be conducted by any operator can be expected.
DFGR: Diversity and Fairness Awareness of Group Recommendation in an Event-based Social Network
Authors: Liang Yuan
Published: October 2022

An event-based social network (EBSN) is a new type of social network that combines online and offline networks, and one of its important problems is recommending suitable activities to users. However, the current research seldom considers balancing the accuracy, diversity and fairness of group activity recommendations. To solve this problem, we first compute activity similarity based on context and construct an activity similarity matrix and an activity similarity graph, and define a weighted coverage on the maximum similarity graph. Second, we propose a greedy algorithm that achieves an approximate ratio, and propose a new index to evaluate the fairness of a recommendation list S to group g. Finally, we conduct experiments on real datasets, and the experimental results show that the proposed method can better balance the accuracy, diversity and fairness of recommendations than the existing methods.
Reinforcement learning to help intensivists optimize mechanical ventilation settings (EZ-Vent): Derivation and validation using large databases
Authors: Liu Siqi , Xu Zhuoyang , Liu Zhuo , Sun Xingzhi , Xie Guotong , Feng Mengling , See Kay Choong
Published: October 2022

Background
Mechanical ventilation is the cornerstone of critical care medicine. However, choosing the optimal ventilator strategy for a patient remains imprecise. Existing guidelines provide one-size-fits-all recommendations, but do not personalize treatments for different intensive care unit (ICU) patients. In this study, we aimed to design and evaluate an artificial intelligence (AI) solution that could tailor an optimal ventilator strategy for each critically ill patient who requires mechanical ventilation.
Methods
We proposed a reinforcement learning-based AI solution using observational data from multiple ICUs in the US. The primary outcome was hospital mortality. Secondary outcomes were the proportion of optimal oxygen saturation and the proportion of optimal mean arterial blood pressure. We trained our AI agent to learn each patients’ treatment trajectory and thus to recommend low/medium/high levels of three ventilator settings, namely the positive end-expiratory pressure, fraction of inspired oxygen and ideal body weight-adjusted tidal volume. Off-policy evaluation metrics were applied to evaluate the AI policy.
Results
We studied 5105 and 21595 patients’ ICU stays from the Multiparameter Intelligent Monitoring in Intensive Care (MIMIC-IV) and eICU Collaborative Research (eICU) databases respectively. Observed hospital mortality rates were 18.2% (eICU) and 31.1% (MIMIC-IV). For the learnt AI policy, we estimated the hospital mortality rate (eICU 14.7\(\pm\)0.7%; MIMIC-IV 29.1\(\pm\)0.9%), proportion of optimal oxygen saturation (eICU 57.8\(\pm\)1.0%; MIMIC-IV 49.0\(\pm\)1.0%), and proportion of optimal mean arterial blood pressure (eICU 34.7 \(\pm\) 1.0%; MIMIC-IV 41.2\(\pm\)1.0%). Based on multiple quantitative and qualitative evaluation metrics, our proposed AI solution has potential to outperform observed clinical practice.
Conclusions
Our proposed approach has potential to be applied as a clinical decision support tool that helps intensivists make better treatment decisions and to improve the survival and prognosis of critically ill patients who require invasive respiratory support.
Visualizing field-effects and chemical passivation in efficient 2D/3D heterojunction perovskite solar cells and modules
Authors: Yang Weichuang , Ding Bin , Yang Zhenhai , Lin Zedong , Sun Jingsong , Meng YuanYuan , Sheng Jiang , Ding Yong , Ye Jichun , Dyson Paul , Nazeeruddin MOHAMMAD KHAJA
Published: October 2022

The full potential of perovskite solar cells (PSCs) is limited by charge-carrier recombination, due to the imperfect passivation methods. Here, interfacial recombination loss of field-effect and chemical passivation mechanisms is quantified. It was found that a favorable alignment of energy levels can provide very good field-effects to reduce minority carriers, and suppresses interfacial recombination losses more effectively than chemical passivation. To obtain high-efficiency PSCs, two-dimensional (2D) perovskites are promising candidates, which offer powerful field-effects and only require modest chemical passivation at the interface. Owing to promoted passivation and charge-carrier extraction, the power conversion efficiency of a 2D/3D heterojunction PSC was boosted to 25.32% (certified 25.04%) for small-size devices and to 21.48% for a large-area module (with a designated area of 29.0 cm2). Ion migration is also suppressed by the 2D/3D heterojunction so that the unencapsulated small-size devices maintain 90% of the initial efficiency after 2000 h of continuous operation at the maximum power point.
A study on the suitability of 3D printed models to analyse sounds of the whistling arrows
Authors: COBAN Recep Efe , AKAN Mertcan
Published: October 2022

Whistling arrows are military equipment that can make a whistling sound through their whistles, which are usually made of horns or bone. Surprisingly, this highly intriguing weapon is one of the least studied subjects in the medieval archery legacy. The reason for this might be that the whistling arrows are very difficult to manufacture and test. On the other hand, using 3D printers has by researchers to test and analyse archaeological artifacts nowadays. Likewise, the affordable prices of 3D printers and the manufacturing speed of the models are also increasing these studies. In this context, our article aims to test the hypothesis of using 3D models produced by 3D printers to overcome the difficulties in producing whistling arrows. Three different whistle types dating to the Turk Khaganate period were selected to use in the tests, and ten 3D whistle models were printed out following these typologies. All whistles were tested in the prepared test setup and their sounds were recorded and analysed.
The secure judgment of graphic similarity against malicious adversaries
Authors: Liu Xin , Xu Yang , Xu Gang , Chen Xiu-Bo
Published: October 2022

With the the advent era of big data, the secure computation calculates data on the premise of protecting data privacy, to realize the availability and invisibility of data. Secure multi-party computation, as one of three major technical tools of privacy computing, can still securely carry out data collaborative computation without a trusted third party. As an important branch of secure multi-party computation, the secure computing geometric problem can solve practical problems in the military, national defense, finance, life, and other fields, which has important research significance. In this paper, the graphic similarity problem is studied. Firstly, this paper proposes the adjacency matrix vector coding method of isomorphic graphics and uses the Paillier variant cryptosystem to securely solve the graphic similarity judgment under the semi-honest model. By using an elliptic curve cryptosystem and zero-knowledge proof to solve the possible malicious attacks under the semi-honest model, a graphic similarity judgment protocol under the malicious model is designed. The protocol can resist malicious attacks, has high computational efficiency, and has wide application value.
Collaborative 360° Virtual Reality training of medical students in clinical examinations
Authors: Davidsen Jacob Gorm , Larsen Dorthe Vinter , Rasmussen Sten , Paulsen Lucas
Published: October 2022

Simulation-based training in computer-generated environments has always played an important role in clinical medical education. Recently, there has been a growing interest in using 360° videos of real-life situations for training in health professions. Several studies report positive results from using 360° Virtual Reality for individuals, however, there are no studies on collaborative 360° Virtual Reality training. In this paper, we study how 360° Virtual Reality can support collaborative training in clinical medical education. 14 medical students from a 5th -semester medical bachelor’s program participated. In three groups, the students watched and annotated a 360° video of an authentic learning situation inside a collaborative immersive virtual reality space. The video shows a problem-based supervised examination of the knee collateral ligaments and the cruciate ligaments performed by students. Afterwards, the students should perform the test in a physical examination. The performance of the students has afterwards been evaluated by a professor with expertise in knee examinations. The results show that 12 out of 14 students gets a score of 2 on one or more test and thereby reaches the required learning objective. One student receives a score of 1 and one student does not perform any of the tests. The students use the tools provided by the software and different communicative strategies when working collaboratively in 360° Virtual Reality, which enables them to perform the tests in the physical examination. These results indicate that our pedagogical design in collaborative immersive 360° Virtual Reality can become a relevant addition to face-to-face clinical medical training.
Exhaled Patient Derived Aerosol Dispersion during Awake Tracheal Intubation with Concurrent High Flow Nasal Therapy
Authors: Eain Marc Mac Giolla , Nolan Kevin , Murphy Brian , McCaul Conan , MacLoughlin Ronan
Published: October 2022

Purpose
Awake Tracheal Intubation (ATI) can be performed in cases where there is potential for difficult airway management. It is considered an aerosol generating procedure and is a source of concern to healthcare workers due to the risk of transmission of airborne viral infections, such as SARS–CoV-2. At present, there is a lack of data on the quantities, size distributions and spread of aerosol particles generated during such procedures.
Methods
This was a volunteer observational study which took place in an operating room of a university teaching hospital. Optical particle sizers were used to provide real time aerosol characterisation during a simulated ATI performed with concurrent high-flow nasal oxygen therapy. The particle sizers were positioned at locations that represented the different locations of clinical staff in an operating room during an ATI.
Results
The greatest concentration of patient derived aerosol particles was within 0.5–1.0 m of the subject and along their midline, 2242 #/cm3. As the distance, both radial and longitudinal, from the subject increased, the concentration decreased towards ambient levels, 36.92 ± 5.12 #/cm3. Patient derived aerosol particles < 5µm in diameter remained entrained in the exhaled aerosol plume and fell to the floor or onto the subject. Patient derived particles > 5µm in diameter broke away from the exhaled plume and spread radially throughout the operating room.
Conclusions
Irrespective of distance and ventilation status, full airborne protective equipment should be worn by all staff when ATI is being performed on patients with suspected viral respiratory infections.
Learning phenotypic patterns in genetic diseases by symptom interaction modeling
Authors: Thevenon Julien , Yauy Kevin , Duforet-Frebourg Nicolas , Testard Quentin , Beaumeunier Sacha , Audoux Jerome , Simard Benoit , Larue DImitri , Blum Michael , Bernard VIrginie , Geneviève David , Bertrand Denis , Philippe Nicolas
Published: October 2022

Observing phenotyping practices from an international cohort of 1,686 cases revealed heterogeneity of phenotype reporting among clinicians. Heterogeneity limited their exploitation for diagnosis as only 43% of symptom-gene associations in the cohort were available in public databases. We developed a symptom interaction model that summarized 16,600 terms into 390 groups of interacting symptoms and detected 3,222,053 novel symptom-gene associations. By learning phenotypic patterns in genetic diseases, symptom interaction modeling handled heterogeneity in phenotyping, to the extent of covering 99.8% of our cohort’s symptom-gene associations. Using these symptom interactions improved the diagnostic performance in gene prioritization by 42% (median rank 80 to 41) compared to the best algorithms. Symptom interaction modeling will provide new discoveries in precision medicine by standardizing clinical descriptions.
Should diverticulitis be considered a qualifying weight related comorbidity for bariatric surgery?
Authors: LaRocque Justin D. , Russell Dylan M. , Nguyen Scott H. , Yheulon Christopher G.
Published: October 2022

Introduction: With rising obesity rates, surgeons are operating on increasingly larger patients. Minimally invasive surgery has helped ease this burden on surgeons. However, we are still quantifying the impact of weight on surgical outcomes. The purpose of this study is to determine the role of obesity in elective laparoscopic colectomy for colonic diverticulitis.
Methods: The American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) and colectomy targeted procedure databases were queried from 2012-2019, examining patients undergoing elective, minimally invasive partial colectomy with or without primary anastomosis for an indication of diverticulitis. Patients with a BMI under 30 (non-obese) were compared to patients with a BMI between 35-40 (obese). The groups were propensity score matched for pre-operative and intra-operative variables.
Results: 2,217 patients were identified with 1,954 non-obese patients and 263 obese patients. The groups’ average BMIs were 25.3 ± 3 and 37.1 ± 1.5, respectively. There were no significant differences between the two groups after a 2:1 propensity score match. In obese patients, there were higher rates of conversion to open (11.49% vs 7.09%, p =0.038), operative time (178.5 vs 167.0 minutes, p = 0.044), and readmission (7.28% vs 3.64%, p = 0.025). The leak rate was 4.98% for obese patients vs. 2.68% for non-obese patients, though this was not statistically significant (p=0.097).
Conclusion: Obese patients undergoing elective laparoscopic colectomies for diverticulitis suffer from increased rates of conversion to open, operative time, and readmission. Diverticulitis should be strongly considered for inclusion as a qualifying weight related comorbidity for bariatric surgery as significant weight loss prior to diverticulitis surgery improves outcomes.
Efficient Targeted Delivery of Bifunctional Circular Aptamer ASO Chimera to Suppress the SARS-CoV-2 Proliferation and Inflammation
Authors: Yang Gang , Zhang Shengnan , Song William , Bai Xia , Li Ling , Luo Fatao , Cheng Yiran , Wang Diyue , Zhao Jincun , Zhao Yongyun
Published: October 2022

Inhibition of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and excessive inflammation is the current task in the prevention and treatment of COVID-19. Here, we designed a dual-function circular aptamerASO chimera (circSApt-NASO) to suppress SARS-CoV-2 replication and inflammation. The chemically unmodified circSApt-NASO exhibited high serum stability by artificial cyclization, significantly enhancing the utility of oligonucleotides. It presents great efficiency in knocking down, demonstrating the superiority of the circular ASO as a novel tool for sequence-specific silencing of gene expression. Furthermore, we propose and demonstrate that the SApt binding to spike protein enables the chimera to be efficiently delivered into the susceptible host cells expressing ACE2 along with the infection of SARS-CoV-2. At high concentrations of SARS-CoV-2, the efficiency of targeted delivery of circSApt-NASO can even be compared to transfection. Among them, the anti-spike aptamer (SApt) that blocks the Spike-TLR4 interaction potently inhibits spike-induced inflammation. The NASO targeting to silence N genes not only display robust anti-N-induced inflammatory activity, but also achieve efficient inhibition of SARS-CoV-2 replication. Therefore, benefiting from the high stability of the cyclization, anti-spike aptamer-dependent and viral infection-mediate targeted delivery, the circSApt-NASO displays robust potential against authentic SARS-CoV-2 and Omicron (B.1.1.529), providing a promising specific anti-inflammatory and anti-proliferative reagent for therapeutic COVID-19 based on the oligonucleotide therapeutics strategy.
FoxO6-mediated TXNIP induces hepatic steatosis through NLRP3 inflammasome activation in vivo and in vitro
Authors: Kim Mi Eun , Lee Jun Sik , Kim Dae Hyun
Published: October 2022

Background
We showed that the activation of the nucleotide-binding oligomerization domain-like receptor pyrin domain-containing-3 (NLRP3) inflammasome by the forkhead box O6 (FoxO6) transcription factor through binding of the thioredoxin-interacting protein (TXNIP) under inflammatory conditions might lead to hepatic steatosis. Although the role of the FoxO6 in mediating lipid accumulation and the chronic inflammatory process underlying the pathophysiology of hepatic steatosis are well explored, the precise mechanisms of the involvement of FoxO6 have not fully been delineated to date.
Methods
NLRP3 inflammasome and lipogenesis were monitored in mice overexpressed with constitutively active (CA)-FoxO6 allele, and FoxO6-null mice. In vitro study, liver cells overexpressing CA-FoxO6 were treated with palmitate, and then alterations in lipid metabolism were measured.
Results
The focus of our investigation was to apply palmitate treatment to elucidate the mechanisms underlying the role of FoxO6 in the activation of the cytokine IL-1β through the NLRP3 inflammasome. Initial experiments revealed that palmitate-induced FoxO6 activity was caused by its dephosphorylation, which induced its transcriptional activity. Further palmitate experiments showed increased expression of IL-1β and the hepatic NLRP3 inflammasome complex, including adapter protein ASC, and pro-caspase-1. Furthermore, TXNIP, a key regulator of cellular redox state in the upstream NLRP3 inflammasome, was induced by FoxO6 in liver and HepG2 cells.
Conclusion
The main contribution of the current study is the identification of FoxO6 as a key signaling element upstream of TXNIP in the regulation of the hepatic NLRP3 inflammasome of the molecular mechanisms involved in hepatic lipogenesis.
Comparing long-term energy pathways in Vietnam: a cost-optimization approach with OSeMOSYS
Authors: Tan Naomi , Harrison John , Howells Mark
Published: October 2022

Vietnam is at a critical juncture in planning for its future energy mix due to its fast-growing economy and recent climate commitments. Focusing on Vietnam’s energy system, this study incorporates a cost-optimization tool to investigate the impact of different policy decisions, resulting in a series of six different energy scenarios. The six scenarios include: (i) Power Development Plan VII (revised); (ii) Power Development Plan VIII (draft); (iii) Renewable Energy Development Strategy; (iv) Renewables-Led Pathway; (v) Net Zero; and (vi) Clean Energy Transition. Based on these cases, main insights are highlighted, with the aim of providing key stakeholders in energy policy strong modelling analysis on potential and practical energy mix alternatives over the next 20–30 years. Thus, modelling suggests that a fossil fuel phase-out and uptake of renewable technologies will allow Vietnam to achieve its climate commitments, whilst providing energy security within the nation. Additionally, adopting sustainable biomass will support the transition to net zero, and energy-efficient technologies will lower costs and emissions. This study also concludes the key findings with recommendations on achieving the optimal pathway for the development of Vietnam’s energy sector.
Cluster Weighted Model Based on TSNE algorithm for High-Dimensional Data
Authors: Olobatuyi Kehinde
Published: October 2022

Similar to many Machine Learning models, both accuracy and speed of the Cluster weighted models (CWMs) can be hampered by high-dimensional data, leading to previous works on a parsimonious technique to reduce the effect of ”Curse of dimensionality” on mixture models. In this work, we review the background study of the cluster weighted models (CWMs). We further show that parsimonious technique is not sufficient for mixture models to thrive in the presence of huge high-dimensional data. We discuss a heuristic for detecting the hidden components by choosing the initial values of location parameters using the default values in the ”FlexCWM” R package. We introduce a dimensionality reduction technique called T-distributed stochastic neighbor embedding (TSNE) to enhance the parsimonious CWMs in high-dimensional space. Originally, CWMs are suited for regression but for classification purposes, all multi-class variables are transformed logarithmically with some noise. The parameters of the model are obtained via expectation maximization algorithm. The effectiveness of the discussed technique is demonstrated using real data sets from different fields.
The Amabie: A Japanese prophetic chimera and chronotope amid political monstrosities
Authors: Merli Claudia
Published: October 2022

The years 2020-2022 engraved our existence with epidemiological and political monstrosities that will not be forgotten for quite some time. The COVID-19 pandemic dragged us to contemplating the possibilities of a plague that, rather than being confined to the global south’s ‘invisible’ territories of diseases, heavily affected the global north and with the prospect of wiping out a large number of the world’s population in a similar manner to that of the 1918 influenza epidemic. Governments were caught between choices to either privilege lives or economies and eugenics reared its head as a spectre from the historical past. A benign marine monster, the Amabie, a prophetic yōkai from Japanese folklore, became popular, initially in Japan and, rather rapidly on a global scale, assumed a prominent position, becoming an icon for the COVID-19 pandemic. I interrogate how people resorted to this chimeric creature from marine and historical depths to deal with existential uncertainty and abnormal lives, rendering it a chronotope that connects times and spaces. Such aquapelagic creatures frame the ambiguity of a world where political, environmental and health disasters merge.
A COMPARATIVE STUDY OF MARKETING STRATEGIES DEPLOYED BY POPULAR ENERGY DRINK CONGLOMERATIONS
Authors: Bhartari Mahika , Agarwal Ishana
Published: October 2022

Background: The energy drink market has been growing ever since the introduction of Red Bull in 1987 and clearly Red Bull still leads the market that it created for itself and its competitors like Monster Energy, Gatorade and many more. The huge success of these energy drink conglomerates can be owed to their out of the box marketing strategies and techniques that have left the whole world in admiration. The way these conglomerates represent themselves in the market is quite unique and distinctive and this is what makes this whole study engrossing and fascinating. These energy drink companies do not advertise the product but the idea behind and experiences attached with the drink. There is a major differentiating factor between Red Bull-Monster Energy and Gatorade. Red Bull and Monster Energy have 30 mg of caffeine in each 100 grams of the drink (Monster Zero Ultra Flavours | Zero-Sugar Energy Drinks, n.d.) (Facts & Figures - Red Bull Red Edition, n.d.) whereas Gatorade contains electrolytes, that helps in replenishing the energy lost during extensive activity. Objective: To critically compare and analyse the marketing strategies of popular energy drink conglomerates like Red bull, Monster Energy, Gatorade. Through the detailed analysis using the survey, we shall observe how popular and successful these strategies have proven to be in India. Methodology: This research paper lays due emphasis on the positive as well as the negative outcomes of the marketing techniques and their establishment in India. The methodology used for this paper is both qualitative, quantitative and critical discourse analysis. The data pertaining to marketing strategies has been collected from secondary sources such as reports, journals, magazines, newspaper articles and the official websites of the above mentioned energy drinks.
CHANGE OF PERFORMANCE CHARACTERISTICS IN DIFFERENT AGE GROUP OF KHO KHO PLAYERS
Authors:   Ph.D. Scholar (SRF), Department of Physical Education, Jadavpur University., Kapas Prasenjit , Paul Asish ,   Associate Professor, Department of Physical Education, Jadavpur University.
Published: October 2022

In India, khokho is one of the oldest and most well-known tag games. The purpose of the study was to compare the physical fitness parameters and anthropometric parameters among the three age groups of Kho-Kho players as physical fitness and anthropometricparameters are the most important factors to execute performance in competitive situation. To accomplish the purpose of the study BMI, Arm length, Foot length, speed, agility and speed endurance were taken as the variables.Toconduct the study total 45girls subjects were selected from three different age group of Kho-Kho. The mean and S.D. of scores of each variables were computed, there after F test was computed to find out the significance of differences among the score of each variable of physical fitness and anthropometric parameters among three groups of Kho-Kho players and LSD was computed to find out the significant difference among three groups. There was a gradual increase of height and body weight with age. The BMI of the junior group(18.03 Ã‚Â± 2.55 kg/m2) was the lowest and the most senior group(20.02 Ã‚Â± 1.57 kg/m2) was highest.The speed of the middle age group(7.69 Ã‚Â± 0.34sec) was best. The agility of the junior group(10.97Ã‚Â± 3.07sec.) showed best than the other groups. The speed endurance of middle group(81.13 Ã‚Â± 7.15sec) was better than the other two groups. The average foot length of junior most groups (21.86 Ã‚Â± 1.24cm) was lowest and the middle aged group(22.86 Ã‚Â± 1.12cm) was highest. The average arm length of junior most group(62.80Ã‚Â± 4.17cm) lowest and the senior most group(69.53 Ã‚Â± 4.85cm) was highest.It may conclude thatthe characteristics of anthropometric parameters and physical fitness variables vary with the different age but no such specific direction of increase or decrease of such variables is drawn.
NAILING AND PLATING AS FIXATION OF HUMERAL SHAFT FRACTURES
Authors: Elsgheir Mostafa , Elsharief Abdusalam
Published: October 2022

Both the modalities of treatment i.e. dynamic compression plating and interlocking nailing are good as far as union of the fracture is concerned, but considering the functional outcome and rate of complications, we are of the opinion that plating offers better result than interlocking nailing with respect to pain and function of the shoulder joint. Cases where both plating and interlocking nailing can be done, plating should be preferred as plating offers better result with respect to pain and function.
AVANCES Y RETROCESOS DE LAS CANDIDATURAS INDEPENDIENTES 2015 Y 2018 EN MEXICO
Authors:   Master in Higher Education, Academic Researcher, Faculty of Political Science, Autonomous University of Campeche., Dzib Cambranis Josue , Monserrat Llanes Chiquini Charlotte ,   Ph in Administration Sciences, Academic Researcher, Faculty of Administration and Finance, Autonomous University of Campeche., C. Llanes Chiquini Gerardina ,   Masters in Accounting, Academic Researcher, Faculty of Administration and Finance, Autonomous University of Campeche., Alberto Perez Canul Carlos ,   Ph in Administration Sciences, Academic Researcher, Faculty of Administration and Finance, Autonomous University of Campeche., Guillermo Chuc Giselle ,   Ph in Administrative Management, Academic Researcher, Faculty ofAdministration and Finance, Autonomous University of Campeche., Manuel Pinzon Pedraza Alfonso ,   Master in Educational Sciences. Academic Researcher, Center for Foreign Language Studies Autonomous University of Campeche.
Published: October 2022

Esta investigacion trata de explicar el por que el Estado Mexicano despues del periodo revolucionariofomento la aparicion de partidos polÃ­ticos y con ello la Ãºnica vÃ­a de participacion en los procesos electorales que en su momento se caracterizaron por que giraban alrededor del caudillismo y del militarismo respectivamente,y que a partir del 2012 la reforma electoral permite las candidaturas independientes donde los ciudadanos participan libremente en los procesos electorales tanto a nivel federal como a nivel local , asÃ­ como las reglas a que se deben de someter y obstÃ¡culos que enfrentan las candidaturas independientes.
STEVEN JOHNSONS SYNDROM ON LAMOTRIGINE
Authors: Belabbes Imane , Kisra Hassan
Published: October 2022

Introduction: Lamotrigine is an anti-epileptic drug indicated for the treatment of bipolar disorder and recurrent depressive disorders. Its efficacy has been demonstrated. However, its use may be limited by the risk of severe, life-threatening allergic reactions. Objectives And Methods: We report hereafter the clinical case of a patient suffering from bipolar depression treated with lamotrigine which induced skin allergies in her. Our objective will be to detail the rules of prescribing the treatment, to describe Steven Johnson syndrome, a serious adverse effect to lamotrigine, to discuss the urgent course of action in the event of severe allergic reactions to lamotrigine as well as the therapeutic options after a hypersensitivity reaction to lamotrigine. Clinical Vignette:This is a patient followed in psychiatry for bipolar disorder, put on esitalopram clomipramine, aripiprazole and Lamotrigine, who was admitted to dermatology for minimal erythematous maculo-papular rash on the face and limbs with involvement of the oral and genital mucosa appeared 4 weeks after introduction of lamotrigine. Conclusion: Despite the efficacy of lamotrigine as an effective mood regulator in the treatment of recurrent depressive episodes and depressive episodes in bipolar disorder, this antiepileptic drug must be used with caution to avoid serious life-threatening reactions.
EFFECTIVENESS OF KINESIO INSTRUMENT ASSISTED SOFT TISSUE MOBILIZATION AND TAPING AMONG SPRINTERS WITH CHRONIC ACHILLES TENDINOPATHY
Authors:   MPT Ortho, School Of Physiotherapy, VISTAS., V. Bharani , Karthikeyan S. ,   Research Scholar, School Of Physiotherapy, VISTAS., Senthilselvam P. ,   Head of the Department, School Of Physiotherapy, VISTAS.
Published: October 2022

Background: Achilles tendinopathy is the most frequently reported injury related to the ankle and foot common in runners and other sports activity. Chronic tendinopathy most often characterized by tendon degeneration and the area can be painful to touch. As a result the tendon goes for spasm and joint stiffness due to the force generated during toe off of the ground during running and it is transmitted by achilles tendon. This may lead to affect the performance in sprinters. Aim: The aim of this study is to find the effectiveness of Kinesio instrument assisted soft tissue mobilization and taping among sprinters with chronic achilles tendinopathy. Method: The study included 30 sprinters from Chennai who fulfilled the inclusion criteria. The 20 meter yard test done to check the running performance for each sprinters and the pain was measured using numerical pain rating scale and functional disability was measured using lower extremity functional scale. Result: The results were analyzed using inferential statistics, t-test using intra-group analysis. The mean and standard deviation for 20-meter yard test 4.00 and 0.65. The mean and standard deviation for numeric pain rating scale will be 3.67 &0.88. The mean and standard deviation of lower extremity functional scale will be 68.53 & 6.11. The t- test for 20-meter, numeric pain rating scale & lower extremity functional scale are 11.79, 10.93 & 21.51. These have the significant at the level of p-valve = 0.000 < 0.05. Conclusion: The present study concludes that there is a significant effective in Kinesio instrument assisted soft tissue mobilization followed by taping on ankle range of motion, performance level and functional disability with chronic achilles tendinopathy among sprinters.
Coexistence in Space: Stimulating Encounter in the Socially Fragmented Open Urban Fabrics
Authors: Şevik Ebru , Çalişkan Olgu
Published: October 2022

As one of the most problematic issues in urban societies exhibiting prejudiced cultural plurality, social distancing manifests itself as a form of spatial segregation even within an open urban fabric that does not have physical boundaries. Rather than addressing the achievement of full
social integration at the risk of eliminating the richness of local identities, the interactional approach acknowledges the value of intersubjective encounters in the urban space. In this regard, the emerging studies of 'encounter' aim to explore the capacity of social interaction to build
mutual learning and solidarity within diff erent socio-cultural groups, even at the risk of con flict. With the fundamental assumption of the social encounter that occurs through particular (spatial and programmatic) conditions within the physical fabric, the paper explores the morphological
capacity of the built form to enable the coexistence of diff erences by stimulating encounters. Following a comprehensive review of the literature on the issue, we suggest a multi-scalar approach that involves the macromorphological perspective of spatial con figuration and the micro characteristics
of the small public spaces (the so-called 'micropublics'). Accordingly, the paper revisits the notion of 'threshold' as the place of encounter within the city's social fabric. To reveal the interactional capacity of a socially segregated (open) urban fabric for a high possibility of encounters,
the paper focuses on the case of the Emek District in Bursa, Turkey, a living fabric composed of divided socio-spatial territories. Following the con figurational analysis of the district, the paper explores some micro-spatial con figurations as thresholds at the street, block, plot, and building
levels. Providing a morphological perspective on coexistence within the fragmented social fabric of the city, the research aims to contribute to the extant discussions on liveability from the perspective of interaction and cohesion.
Living Convenience in Daily Life and Its Interactive Relationship with Urban Form: A Data-Informed Measurement
Authors: Han Yun , Zhou Zihao , Zhong Teng , Ye Yu
Published: October 2022

As a perceptual quality of life, living convenience is an essential social indicator in contemporary urbanism. A high degree of living convenience in daily life means people can meet most of their needs within a short travel time, bringing a series of bene fits in terms of liveability.
However, it was diffi cult to measure this intangible, subjective issue quantitatively. Therefore, analysis of the relationship between various elements of urban form and living convenience is needed. This study explores an analytical approach to measuring living convenience using new urban
data and geographic information system techniques. Following a city-scale computation in Shanghai and China, further exploration of urban form and living convenience were conducted. Speci fically, a building-level analysis covering the whole of Shanghai was achieved by computing the level
of access and diversity of living services for each building within a 15-minute journey. Diff erent travel pa erns are involved, such as walking, bus, metro, and the distance decay of living service facilities. The largescale spatial distribution of living convenience is mapped to verify the
validation of living convenience. Meanwhile, morphological features, block size, intensity of land use, and street pa erns on the street block level were mapped together with their living convenience. Further geospatial statistical analysis helps to bring indepth understanding. In short, this
study provides a continuous measurement of an 'unmeasurable' social perception across large-scale areas, which helps to identify neighbourhoods requiring urban planning intervention. The insights into the spatial interaction pa erns between urban morphological features and living convenience
can assist in urban design strategy and lead to a more liveable urbanism.
Attributes of halal tourism during the Covid-19 pandemic: An overview of the perceptions of Muslim tourists in Nusantara
Authors: Martaleni Martaleni , Jamal Abdul Nasir M. , Khoiriyah Rizqiyatul , Ramadhany Djawas Satya
Published: October 2022

The Covid-19 pandemic has hit industrial sectors very hard, including the tourism industry and halal tourism. The sustainability of the tourism industry must be maintained, so the development of marketing strategies is very necessary. The purpose of this study is to examine and analyze the effect of halal tourism attributes on tourist loyalty and indirectly through the trust and satisfaction of Indonesian Muslim tourists. This quantitative study involved 504 respondents out of 519 collected. To determine the sample in this study, a judgment sampling technique was used. The analytical tool used is the PLS-SEM to test the effect of the relationship between the variables studied. As a result, the attributes of halal tourism indirectly affect loyalty through the trust and satisfaction of tourists. This means that tourist loyalty manifests itself in returning to visited tourist destinations, recommending others, inviting others to visit visited tourist destinations, and traveling back to visited tourist destinations, even though the entry ticket goes up; it can arise directly as a result of offerings of halal tourism attributes, as well as mediated by the trust and satisfaction of domestic tourists with tourism attributes offered to the tourist destinations they visited during the COVID-19 period.
Linear Models Applied to Monthly Seasonal Streamflow Series Prediction
Authors: Belotti Jônatas Trabuco , Mendes Junior José Jair Alves , Luna Ivette , Asano Patrícia Teixeira Leite , Tadano Yara de Souza , Alves Thiago Antonini , Martins Marcella Scoczynski Ribeiro , Usberti Fábio Luiz , Stevan Jr. Sergio Luiz , Trojan Flávio , Siqueira Hugo Valadares
Published: October 2022

Linear models are widely used to perform time series forecasting. The Autoregressive models stand out, due to their simplicity in the parameters adjustment based on close-form solution. The Autoregressive and Moving Average models (ARMA) and Infinite Impulse Response filters (IIR) are also good alternatives, since they are recurrent structures. However, their adjustment is more complex, since the problem has no analytical solution. This investigation performs linear models to predict monthly seasonal streamflow series, from to Brazilian hydroelectric plants. The goal is to reach the best achievable performance addressing linear approaches. We propose the application of recurrent models, estimating their parameters via an immune algorithm. To compare the optimization performance, the Least Mean Square (LMS) and Recursive Prediction Error (RPE) algorithms are utilized. Also, the AR model and the Holt-Winters method were performed. The results showed that the insertion of feedback loops increases the quality of the responses. The ARMA models optimized by the immune algorithms achieved the best overall performance.