Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparative Study between Primary Surgical Intervention and Conservative Management in Cases of Jones Fracture of Base 5

The fifth metatarsal base fracture is the most common fracture of the forefoot. The aim of this study was to evaluate the short term results of comparison between surgical and conservative management of Jones fracture of base 5 th metatarsal: This is a comparative study included forty patients, twenty patients were treated by percutaneous fixation using cannulated 4.0 mm screw and twenty patients were treated conservatively with below knee cast. The duration from injury to admission to the hospital ranged from 1 to 3 days with an average of 2 days. The average follow-up duration was 6 months (range from 4 to 12 months). The American Orthopedic Foot and Ankle Society (AOFAS) used as a clinical rating system to monitor improvement following injury was done at 6 weeks, 12 weeks and 6 months. Patients treated with percutaneous screw fixation all achieved full union and had AOFAS score ranged from 91 to 98 at end of follow up at 12 weeks, while patients treated conservatively by cast had AOFAS score ranged from 73 to 87 at end of follow up at 12 weeks . After calculating P value to compare both groups according to end of follow up AOFAS Score P value = 0.000665781, P value significant < 0.001 which is highly significant. Early screw fixation is safe and effective method for treatment of acute Jones fracture of base of 5 th metatarsal.
The moderating role of mindful awareness in the associations of adverse childhood experiences and coronavirus exposure with sleep patterns

Although many studies have focused on the associations between adverse childhood experiences (ACE) and sleep outcomes (Chapman et al., 2011; Kajeepeta et al., 2015), the role of mindful awareness has not been explored in this interaction. Additionally, few studies have explored the impact of COVID-19 on sleep outcomes. The current study worked to bridge these gaps in the current literature. Data in this study was collected by asking students at the University of Northern Iowa to self-report their current sleep patterns, exposure to COVID-19, and mindful awareness while retrospectively reporting their past ACEs (N = 143). Past literature in this field has shown a connection between ACE score and lowered sleep quality, partially consistent with the results of this study (Koskenvuo et al., 2010). Findings indicated experiencing one or more ACE factor was associated with higher rates of sleep complaints affecting daytime functioning, increased factors inducing sleep (e.g. light and temperature of sleeping environment), poorer overall sleep quantity and quality (indicated by the PSQI sleep measure), and increased daytime sleepiness. Additionally, results indicated that with low levels of mindful awareness, there were increases in sleep disturbances, including nightmares, insomnia, sleep-inducing factors, sleep complaints affecting daily functioning, troubles sleeping, daytime sleepiness, and sleep quality. Thus, greater levels of mindful awareness were linked with lower levels of these sleep disturbances. A majority of the results did not support associations between COVID-19 and sleep outcomes. Furthermore, at low levels of mindful awareness, participants with high exposure to ACE reported increased trouble sleeping. Finally, at low and medium levels of mindful awareness, participants who were exposed to COVID-19 reported higher rates of daytime sleepiness.
Evaluating the Correlation of Hemostatic and Endocrine Parameters with Child-Turcotte-Pugh Scoring in Patients with Non-Alcoholic Liver Cirrhosis

Background: Liver cirrhosis is one of the most significant causes of death in many regions worldwide. This study aimed to assess the correlation of hemostatic and endocrine parameters with Child-Turcotte-Pugh (CTP) scoring in patients with non-alcoholic liver cirrhosis. Materials and Methods: This study included 59 patients monitored for non-alcoholic liver cirrhosis in a gastroenterology clinic from January 2018 to February 2019. The subjects were grouped according to the CTP scores, and their adrenocorticotropic hormone (ACTH), cortisol, dehydroepiandrosterone sulfate (DHEA-SO4), progesterone, growth hormone (GH), insulin-like growth factor-1 (IGF-1), GH/ IGF-1 ratio, fibrinogen, D-dimer, and D-dimer/fibrinogen ratio were measured. Results: According to CTP scoring, 20.3% of patients were CTP-A (n=12), 35.6% were CTP-B (n=21), and 44.1% were CTP-C (n=26). There were statistically significant differences for IGF-1, DHEA-SO4, and GH/IGF-1 ratios between CTP-A and CTP-B groups (P=0.002, P=0.043, P=0.038, respectively). Additionally, there were statistically significant differences between the CTP-B and CTP-C groups for D-dimer and GH values (P=0.024, P=0.006, respectively). There were statistically significant differences for D-dimer, GH, IGF-1, and D-dimer/fibrinogen ratio between the CTP-A and CTP-C groups (P<0.001, P=0.016, P=0.002, P=0.031, respectively). Conclusion: Severe hemostatic and endocrine complications develop in patients with liver cirrhosis due to non-alcoholic causes. Additionally, it seems that using D-dimer and D-dimer/fibrinogen ratio, along with fibrinogen level, can be beneficial in showing liver damage in these patients.
Risk Factors and Child Sexual Abuse among High School Pupils in Lusaka District, Zambia

Child sexual abuse is a universal problem that affects both boys and girls. In Zambia, like many other African countries, there are certain conditions and circumstances that put children at risk of sexual abuse. However, these risk factors remain explored (Chiroro et al., 2006). This study, therefore, was aimed at investigating risk factors and exploring child sexual abuse in Lusaka District. Specifically, it focused on identifying the forms of sexual abuse; examine the factors that put children at risk for sexual abuse; find out the grooming tactics used by sexual abusers; find out the disclosure rate for child sexual abuse cases; examine the abuser-victim relationships; and make recommendations for child sexual abuse prevention. Participants were 200 secondary school pupils (86 males and 114 females), who were randomly selected. Their ages ranged from sixteen to twenty-one years. Data was collected using a structured selfreport questionnaire and Focus Group Discussions (FGDs). Data analysis was done using the Statistical Package for the Social Sciences (SPSS). The results show an overall prevalence rate of child sexual abuse to be 43.5 per cent (n=87). Of the 87 victims, 41.1 per cent (n=36) were males and 58.6 per cent (n=51) were females. Among the forms of sexual abuse, sexual touch/arousal had the highest frequency (n=54, 62.1%). Most of the subjects (75.6%, n=19) did not disclose their sexual experiences, whereas only 24.4 per cent (n=19) did. Most abusers were found to be family members (n=39, 44%). Six risk factors for sexual abuse were examined, and the most powerful one was parental absence (n=63, 73.3%); having punitive parents (n=57, 68.7%); alcohol intake by a parent or other guardian (n=30, 34.5%); poor parent-child relationship (n=20, 23.7%); parental conflict (n=19, 22.4%); and presence of a stepparent (n=13, 13.1%). Furthermore, the results obtained from the FGDs show that the most frequently used trick for sexual abuse is the offer of money and/other gifts (n=21, 67.8%). Fifty-six (69%) of the victims lacked knowledge to know that the grooming they experienced would result into sexual abuse. The study tested two hypotheses: (a) alcohol intake by the parent or guardian is not a significant risk factor for child sexual abuse; (b) in Lusaka District, children and adolescents that are sexually abused have adequate knowledge of the grooming tactics used by abusers. The results showed that: (a) there is a significant relationship (p=0.004) between child sexual abuse and parental or guardian intake of alcohol; (b) there is a significant relationship (p=0.000) between child sexual abuse and children’s lack of knowledge of the grooming tactics used by sexual abusers. Recommendations made include: (a) teacher training in the area of child sexual abuse; (b) encouragement of research culture among Zambian scholars in the area of child sexual abuse; and (c) active involvement of children, parents, teachers and the government in the prevention of child sexual abuse.
Infrared Study of (Poly)tungstate Ions in Solution and Sorbed into Layered Double Hydroxides: Vibrational Calculations and In Situ Analysis

In situ attenuated total reflection infrared spectroscopy (ATR-FTIR) was used to study the speciation of (poly)tungstate ions in solution and the sorption process into layered double hydroxides (LDHs). In the first section, the W(VI) speciation in solution was performed by comparison of thermodynamical calculations and infrared spectroscopy of solutions as a function of pH. Then, the exchange mechanism within LDHs was followed in real time with the in situ ATR technique and compared with batch experiments characterized by powder X-ray diffraction (PXRD), elemental analysis, and FTIR. Decomposition of the (W–O) stretching vibration bands, between 800 and 1000 cm–1, has allowed the identification of the high affinity of LDHs for the polytungstate species, W7O246–, despite the presence of carbonate ions and higher charged polytungstate ions in solution. This was confirmed by the DFT methods used to investigate the structure and the vibrational modes of this anion, and very good agreement with experimental sp.
Analysis of experimental variables for the Kolbe electrolysis of organic acids to hydrocarbons

Kolbe electrolysis involves the electrochemical conversion of organic acids to hydrocarbon. Various factors such as temperature, current density, electrode material and electrolytic solution flowrate have been analyzed to observe their effect on hydrocarbon product distribution, supplied power and energy return. The results of the study indicate that low temperature and low current density with the monel cathode and the platinum sheet anode electrodes yield the highest percentage of products at the lowest supplied power and with the largest return on energy. Changing the flowrate had no effect on the product distribution or the energy return. Thesis Supervisor: Costas G. Vayenas DuPont Assistant Professor of Chemical Engineering
The relationship between leptin and steroid hormones during different trimesters in gestational diabetes mellitus and obese pregnant women

Leptin is one of the adipokines hormones, it is important for energy expenditure, it is affected by complications during pregnancy such asgestational diabetes mellitus(GDM) and obesity. Women who develop GDM and obesity have elevated metabolic changes. Recently, a series of studies has suggested that the leptin role change with these complications. However, it is unclear if this change effected by steroidal hormones during different trimesters. Thus, we study the relationship between leptin and steroid hormones in GDM and obese pregnant women during different trimesters.The study included (90) pregnant women, aged (25 -35) years it is classified into two groups:The first group [control]: healthy pregnant women.Second group: a pregnant woman with GDM.Third group: obese pregnant women.The study has from November 2018 to February 2019.Parameters diagnosed by ELISA, and Cobase-411.Our results revealed all parameters increased during trimesters within different groups, no significant increase in leptin levels between the second and third groups, steroid hormones increased in the 3 group in comparison with the other groups.Conclusions: Results of the current study showed clearly the following conclusion in GDMand obese pregnant women leptin hormone in our study elevated during different trimesters in different groups, this elevation associated with high levels of steroid hormones.
The Internet of Things for Health Care: A Comprehensive Survey for State-of-the-art Architecture

: the internet of things (IoT), a massive area that makes smart gadgets and captures the development of smart cyberphysical networks. Healthcare is the most important factor which directly connected with the community and development of any country. Latest example is Covid-19 virus and it has directly affected the economy and the day-to-day life of most of the countries. This survey advances IoT based innovative solutions and technologies in healthcare and analyses applications, platforms, and network architectures (state-of-art), new industry trends in IoT based healthcare, and data security and privacy. As per now ambient intelligence, big data, wearable devices, and augmented reality are the new innovative things in the field. The survey is based on a literature review and with the information that the literature reviewer collected representing the data. In this survey, the authors will be reviewed the IoT based healthcare technologies, solutions, applications, issues, challenges in state-ofthe-art architecture and how IOT will affect sustainable development in the economy and society.
IN VITRO BIOACCESSIBILITY OF AMINO ACIDS IN DARK CHOCOLATE

Chocolate is an important source of free amino acids and gama aminobutyric acid (GABA) which play important roles for human health. Considering the scarcity of information on the bioaccessibility of these compounds from dark chocolate, the objective of this study was to characterize their profiles and bioaccessibility in 70% cocoa dark chocolate through an in vitro simulation of oral, gastric and intestinal digestions. All free amino acids and GABA were detected, and their levels increased during in vitro digestion due to digestive enzymes activities—pepsin and pancreatin. Dark chocolate protein showed to be a good source of some essential amino acids, like tryptophan, sum of phenylalanine and tyrosine, isoleucine, histidine, but limiting for lysine, leucine and threonine. PALAVRAS-CHAVE: bioaccessibility; aminoácidos livres; triptofano; chocolate; GABA.
Early Diagnosis of Breast Cancer by Detection of Genetic Variation for BRCA1 and BRCA2 Genes in the Women's of Nineveh Province

Women's Breast Cancer ranks first among other type in Iraq and the world. It often detects because of examinations performed in patients on familial cancer history. Approximately, 10% of hereditary breast cancer represents of all breast cancer cases and BRCA1/2 represented the responsible genes. Mutations in the BRCA1/2 germ increases the risk of hereditary breast cancer twenty times more. Therefore, the detection of BRCA1/2 genes mutations is important for the diagnosis, treatment and application of clinical methods of patients. New generation sequencing is more useful than classical methods. With this method, a patient-specific clinical treatment can be customized, treatment, and early diagnosis, facilitates new discoveries, identification of existing mutations, primarily breast and ovarian cancer.
Contribution of Built Environment on Inclusive Urban Design: with Special Reference to Selected Transport Related Public Spaces in Galle, Sri Lanka

Designing architectural spaces is thought to contribute to social inclusion, eventually satisfying all components of the society. The building and space characteristics have a powerful impact on the quality on peoples ‘lives. It's all about the choices the planners, developers or architects make. And those choices can either encourage or restrict people's well-being. With parallel technological innovations to these built environment and sociological research, many characteristics have been added to the built environment that empowers availability, security and feeling of belonging. This scenario is also apparent in developing nations as the bulk of the population belongs to the poor and low-income groups. Furthermore, the suggestions for growth are always subject to other factors such as policy, financial factors and profit. With regard to all these problems, there have been numerous summits and conferences on maintaining social inclusion, achieving general sustainability. Among them, the Sustainable Development Goals 11 is one of the most prominent in the process of transforming towns into more livable urban buildings and also highlights social inclusiveness as a major need. The whole research aims to promote social inclusion and defeat the present exclusivity. Social exclusivity leads to arise in social inequity, which is today's primary social problem. In overcrowded government areas such as the Galle bus stand and the Galle railway station, these problems are very evident. The objectives of this study are to, identifying the probability of exclusive design to create social inequality, understanding and defining the Social Inclusion as a concept, and then identify the potentials of inclusive design on overcoming social issues.
Elderly&Apos;S Mobility to and from Work in the Us: Metropolitan Status and Population Size

IZA DP No. 13949 DECEMBER 2020 Elderly’s Mobility to and from Work in the US: Metropolitan Status and Population Size* This paper explores the mobility patterns of elder workers in the United States, with a focus on mobility to and from work (e.g., commuting) across metropolitan areas and metropolitan population sizes. Using detailed time diaries from the American Time Use Survey for the years 2003-2018, estimates reveal a positive correlation between the time spent commuting and residing in metropolitan areas, which is also driven by longer commutes in more populated metropolitan areas. Furthermore, elder workers in metropolitan areas of more than 2.5 million inhabitants use more public transports in their commuting trips than similar workers in less-populated or non-metropolitan areas. The analysis presented here may allow policy makers to identify which elder workers may be more affected by the negative consequences of commuting, and also which groups of elder workers have more limitations in their commuting behaviors. JEL Classification: R40, J14
P �� S ����� : Dynamically Improving Response Time for Cloud-based CNN Inference

Executing deep-learning inference on cloud servers enables the usage of high complexity models for mobile devices with limited resources. However, pre-execution time —the time it takes to prepare and transfer data to the cloud—is variable and can take orders of magnitude longer to complete than inference execution itself. This pre-execution time can be reduced by dynamically deciding the order of two essential steps, preprocessing and data transfer , to better take advantage of on-device resources and network conditions. In this work we present P �� S ����� , a system for making dynamic preprocessing decisions to improve cloud inference performance using linear regression models. P �� S ����� then leverages these models to select the appropriate preprocessing location. We show that for image classi � cation applications P �� S ����� reduces median and 99 th percentile pre-execution time by up to 50.2ms and 217.2ms respectively when compared to static preprocessing methods.
Can't trust the feeling? How open data reveals unexpected behavior of high-level music descriptors

Copyright restrictions prevent the widespread sharing of commercial music audio. Therefore, the availability of resharable pre-computed music audio features has become critical. In line with this, the AcousticBrainz platform offers a dynamically growing, open and community-contributed large-scale resource of locally computed low-level and high-level music descriptors. Beyond enabling research reuse, the availability of such an open resource allows for renewed reﬂection on the music descriptors we have at hand: while they were validated to perform successfully under lab conditions, they now are being run ‘in the wild’. Their response to these more ecological conditions can shed light on the degree to which they truly had construct validity. In this work, we seek to gain further understanding into this, by analyzing high-level classiﬁer-based music descriptor output in AcousticBrainz. While no hard ground truth is available on what the true value of these descriptors should be, some oracle information can still be derived, relying on semantic redundancies between several descriptors, and multiple feature submissions being available for the same recording. We report on multiple unexpected patterns found in the data, indicating that the descriptor values should not be taken as absolute truth, and hinting at directions for more comprehensive descriptor testing that are overlooked in common machine learning evaluation and quality assurance setups.
Electrochemical/granular Activated Carbon Hybrid System for Drinking Water Disinfection at Flow Conditions

The electrochemical disinfection has gained much attention due to its simplicity, environmental sustainability and effective in-situ free chlorine generation. Since chloride present at low concentration in tap water, it has become possible to use electrolyzed tap water for disinfection. In the developing countries, the disinfection of tap water is a necessity to reduce the risks of the growth and transmission of pathogenic microorganisms in drinking water distribution systems. In this study, the electrochemical disinfection device EDI-001 equipped with titanium oxide (TiO2-x) ceramic electrodes combined with granular activated carbon (GAC) columns was examined for disinfection of drinking water at flow conditions. The GAC columns were used for removing the chlorine residuals from tap water to reach health authority standards. The results have shown that common microorganisms from tap water was completely disinfected within 15 minutes and total chlorine concentration level was decreased over 50% by using electrochemical/granular activated carbon hybrid system.
UNIVERSIDAD DE INVESTIGACIÓN DE TECNOLOGÍA EXPERIMENTAL YACHAY

In this work, we use the Landauer-Buttiker formula as implemented in the package KWANT (Python library) for studying quantum transport in a DNA molecule based in an analytical tight-binding Hamiltonian recently developed. In our simulation, we used a Hamiltonian considering a kinetic term, a term for intrinsic Spin-Orbit (SO) interaction related to the atomic SO coupling, and a Rashba interaction due to the electric dipoles associated with hydrogen bonds between the bases of the double strand of DNA and we tested the effect of magnetic and no-magnetic leads in the spin-selectivity of the molecule. We obtained that in our model, the spin-orbit coupling associated with the molecule can not be enough to explain the spin selectivity, however, in a system with presence of ferromagnetic leads, enhance the spin selectivity when it is included, which could explain the selectivity observed in similar experiments