LLukas22/scidocs huggingface dataset:
Vivisecting whatsapp through large-scale measurements in mobile networks

WhatsApp, the new giant in instant multimedia messaging in mobile networks is rapidly increasing its popularity, taking over the traditional SMS/MMS messaging. In this paper we present the first large-scale characterization of WhatsApp, useful among others to ISPs willing to understand the impacts of this and similar applications on their networks. Through the combined analysis of passive measurements at the core of a national mobile network, worldwide geo-distributed active measurements, and traffic analysis at end devices, we show that: (i) the WhatsApp hosting architecture is highly centralized and exclusively located in the US; (ii) video sharing covers almost 40% of the total WhatsApp traffic volume; (iii) flow characteristics depend on the OS of the end device; (iv) despite the big latencies to US servers, download throughputs are as high as 1.5 Mbps; (v) users react immediately and negatively to service outages through social networks feedbacks.
Biometrics and Face Recognition Techniques

Biometrics is a growing technology, which has been widely used in forensics, secured access and prison security. A biometric system is fundamentally a pattern recognition system that recognizes a person by determining the authentication by using his different biological features i.e. Fingerprint, retina-scan, iris scan, hand geometry, and face recognition are leading physiological biometrics and behavioral characteristic are Voice recognition, keystroke-scan, and signature-scan. In this paper different biometrics techniques such as Iris scan, retina scan and face recognition techniques are discussed. Keyword: Biometric, Biometric techniques, Eigenface, Face recognition.
Ultra-rapid screening for substance-use disorders: the Alcohol, Smoking and Substance Involvement Screening Test (ASSIST-Lite).

BACKGROUND
The Alcohol, Smoking and Substance Involvement Screening Test (ASSIST 3.0; index test) is a structured interview for alcohol, tobacco, cannabis, stimulants, sedatives and opioid use disorders in general medical settings. Perceived administration time deters routine use. This study releases a short-form: the ASSIST-Lite.


METHODS
Diagnostic accuracy study among 2082 adults recruited from general medical (70%) and specialist mental health/addiction treatment services (22%). Current DSM-IV substance dependence (MINI International Neuropsychiatric Interview) and moderate-severe tobacco dependence (Fagerstrom Nicotine Dependence Test) were reference standards. Exploratory factor and item-response theory models re-calibrated ordinal test items. Items for the ASSIST-Lite were selected by diagnostic accuracy evaluation (area under the receiver-operating characteristic [AUC] curve [≤0.7]), sensitivity, specificity, positive and negative predictive values [PVP, NVP], kappa, likelihood ratios [LR+, LR-], and clinical utility index [CU+, CU-]).


RESULTS
For each substance an item pair was selected (AUC [0.8-1.0], sensitivity [0.8-1.0], specificity [0.7-0.8], PVP [0.8-1.0], NVP [0.7-1.0], kappa [0.5-0.9], LR+ [2.5-5.9], LR- [0.0-0.2], CU+ [0.7-0.9], and CU- [0.5-0.8]). Gender, age and recruitment setting (specialist mental health versus general medical) did not moderate accuracy, with the exception of opioids (AUC <0.7, participants ≥59 years). Male opioid users had more severe substance involvement scores that females (differential item functioning analysis, P=0.00). There was no evidence of differential accuracy between countries (AUC range, 0.8-1.0).


CONCLUSION
The ASSIST-Lite is an ultra-rapid screener which has been optimised for general medical settings. Optionally, a criterion question can be added to capture hazardous drinking, and to capture use of another type of mood-altering substance.
The changing Climate: Management of Dryland Ecosystems for Sustainable Utilization; lessons from global and African experiences.

The changing Climate: Management of Dryland Ecosystems for Sustainable Utilization; lessons from global and African experiences.
Study of ectoparasitism of ultramicrobacteria of the genus Kaistia, strains NF1 and NF3 by electron and fluorescence microscopy

Transmission electron and fluorescence microscopy was used to study the character of the interaction of free-living ultramicrobacterial (UMB) strains NF1 and NF3, affiliated with the genus Kaistia, and seven species of gram-positive and gram-negative heterotrophic bacteria. Strains NF1 and NF3 were found to exhibit parasitic activity against gram-positive Bacillus subtilis and gram-negative Acidovorax delafildii. UMB cells are tightly attached to the envelopes of the victim cells and induce their lysis, thus demonstrating the features of typical ectoparasitism. The selectivity of parasitism of the studied UMB to the victim bacteria has been shown: only two soil microorganisms of the seven test objects, B. subtilis ATCC 6633 and an aerobic gramnegative bacterium A. delafildii 39, were found to be sensitive to UMB attack. Other bacteria (Micrococcus luteus VKM Ac-2230, Staphylococcus aureus 209-P, Pseudomonas putida BS394, Escherichia coli C 600, and Pantoea agglomerans ATCC 27155) were not attacked by UMB. It was established for the first time that free-living UMB may be facultative parasites not only of phototrophic bacteria, as we have previously demonstrated [1], but of heterotrophic bacteria as well. The UMB under study seem to play an important role in the regulation of the quantity of microorganisms and in the functioning of microbial communities in some natural ecotopes.
Clinical Spectrum and Epidemiological Profile of Patients Admitted to Pediatric Intensive Care Unit at a Tertiary Care Centre in South India

Introduction: The knowledge of clinical spectrum and epidemiological profile of critically ill children plays a significant role in the planning of health policies that would mitigate various factors related to the evolution of diseases prevalent in these sectors. The data collected enable prospective comparisons to be made with benchmark standards including regional and international units for the continuous pursuit of providing essential health care and improving the quality of patient care. Purpose: To study the clinical spectrum and epidemiological profile of the critically ill children admitted to the pediatric intensive care unit at a tertiary care center in South India. Materials and Methods: Descriptive data were collected retrospectively from the Hospital medical records between 2013 and 2016. Results: A total of 1833 patients were analyzed during the 3-year period, of which 1166 (63.6%) were males and 667 (36.4%) were females. A mean duration of stay in pediatric intensive care unit (PICU) was 2.21 ± 1.90 days. Respiratory system was the most common system affected in our study 738 (40.2 %). Acute poisoning in children constituted 99 patients (5.4%). We observed a mortality rate of 1.96%, with no association with age or sex. The mortality rate was highest in infants below 1-year of age (50%). In our study, the leading systemic cause for both admission and death was the respiratory system. Conclusion: This study analyses the epidemiological pattern of patients admitted to PICU in South India. We would also like to emphasize on public health prevention strategies and community health education which needs to be reinforced, especially in remote places and in rural India. This, in turn, would help in decreasing the cases of unknown bites, scorpion sting, poisoning and arthropod-borne illnesses, which are more prevalent in this part of the country.
THE THEIL-SEN ESTIMATORS IN A MULTIPLE LINEAR REGRESSION MODEL

In this article, we propose the Theil-Sen estimators of parameters in a multiple linear regression model based on a multivariate median, generalizing the Theil-Sen estimator in a simple linear regression model. The proposed estimator is shown to be robust, consistent and asymptotically normal under mild conditions, and super-efficient when the error distribution is discontinuous. It can be chosen to satisfy the prespecified possible robustness and efficiency. Simulations are conducted to compare robustness and efficiency with least squares estimators and to validate super-efficiency. Additionally we obtain a sufficient and necessary condition which characterizes the symmetry of a random vector.
Navigated transcranial magnetic stimulation and functional magnetic resonance imaging: advanced adjuncts in preoperative planning for central region tumors.

BACKGROUND
Tumor resection in the vicinity of the motor cortex poses a challenge to all neurosurgeons. For preoperative assessment of eloquent cortical areas, functional magnetic resonance imaging (fMRI) is used, whereas intraoperatively, direct cortical stimulation (DCS) is performed. Navigated transcranial magnetic stimulation (nTMS) is comparable to DCS in activating cortical pyramidal neurons.


OBJECTIVE
To evaluate the reliability of nTMS compared with fMRI and DCS for preoperative resection planning of centrally located tumors.


METHODS
In a prospective series, 11 patients (ages, 20-63 years; mean, 41.9 ± 14.9 years, 2 women) with tumors located in or adjacent to the motor cortex were evaluated for surgery. fMRI and nTMS were applied for preoperative assessment of the extent of tumor resection. A 3-dimensional anatomic data set with superimposed fMRI data was integrated in the eXimia Navigated Brain Stimulation station for ensuing motor cortex mapping by nTMS. Responses from nTMS were evaluated by electromyographic response. During surgery, the coordinates of each DCS site were unambiguously defined and integrated into neuronavigation. A post hoc comparison of the coordinates of nTMS, fMRI, and DCS was performed.


RESULTS
Distances from nTMS to DCS (10.5 ± 5.67 mm) were significantly smaller than those from fMRI to DCS (15.0 ± 7.6 mm).


CONCLUSION
nTMS anticipates information usually only enabled by DCS and therefore allows surgical planning in eloquent cortex surgery.
A rare 47 XXY/46 XX mosaicism with clinical features of Klinefelter syndrome

BACKGROUND
47 XXY/46 XX mosaicism with characteristics suggesting Klinefelter syndrome is very rare and at present, only seven cases have been reported in the literature.


CASE PRESENTATION
We report an Indian boy diagnosed as variant of Klinefelter syndrome with 47 XXY/46 XX mosaicism at age 12 years. He was noted to have right cryptorchidism and chordae at birth, but did not have surgery for these until age 3 years. During surgery, the right gonad was atrophic and removed. Histology revealed atrophic ovarian tissue. Pelvic ultrasound showed no Mullerian structures. There was however no clinical follow up and he was raised as a boy. At 12 years old he was re-evaluated because of parental concern about his 'female' body habitus. He was slightly overweight, had eunuchoid body habitus with mild gynaecomastia. The right scrotal sac was empty and a 2mls testis was present in the left scrotum. Penile length was 5.2 cm and width 2.0 cm. There was absent pubic or axillary hair. Pronation and supination of his upper limbs were reduced and x-ray of both elbow joints revealed bilateral radioulnar synostosis. The baseline laboratory data were LH < 0.1 mIU/ml, FSH 1.4 mIU/ml, testosterone 0.6 nmol/L with raised estradiol, 96 pmol/L. HCG stimulation test showed poor Leydig cell response. The karyotype based on 76 cells was 47 XXY[9]/46 XX[67] with SRY positive. Laparoscopic examination revealed no Mullerian structures.


CONCLUSION
Insisting on an adequate number of cells (at least 50) to be examined during karyotyping is important so as not to miss diagnosing mosaicism.
Building a Shallow Arabic Morphological Analyser in One Day

The paper presents a rapid method of developing a shallow Arabic morphological analyzer. The analyzer will only be concerned with generating the possible roots of any given Arabic word. The analyzer is based on automatically derived rules and statistics. For evaluation, the analyzer is compared to a commercially available Arabic Morphological Analyzer.
Effect of Nigella sativa seeds on the glycemic control of patients with type 2 diabetes mellitus.

UNLABELLED
Diabetes mellitus is a common chronic disease affecting millions of people world wide. Standard treatment is failing to achieve required correction of blood glucose in many patients. Therefore, there is a need for investigating potential hypoglycemic drugs or herbs to improve glycemic control in diabetic patients. Nigella sativa seeds were used as an adjuvant therapy in patients with diabetes mellitus type 2 added to their anti-diabetic medications. A total of 94 patient were recruited and divided randomly into three dose groups. Capsules containing Nigella sativa were administered orally in a dose of 1, 2 and 3 gm/day for three months. The effect of Nigella sativa on the glycemic control was assessed through measurement of fasting blood glucose (FBG), blood glucose level 2 hours postprandially (2 hPG), and glycosylated hemoglobin (HbA1c). Serum C-peptide and changes in body weight were also measured. Insulin resistance and beta-cell function were calculated usin the homeostatic model assessment (HOMA2). Nigella sativa at a dose of 2 gm/day caused significant reductions in FBG, 2hPG, and HbA1 without significant change in body weight. Fasting blood glucose was reduced by an average of 45, 62 and 56 mg/dl at 4, 8 and 12 weeks respectively. HbAlC was reduced by 1.52% at the end of the 12 weeks of treatment (P<0.0001). Insulin resistance calculated by HOMA2 was reduced significantly (P<0.01), while B-cell function was increased (P<0.02) at 12 weeks of treatment. The use of Nigella sativa in a dose of 1 gm/day also showed trends in improvement in all the measured parameters but it was not statistically significant from the baseline. However, no further increment in the beneficial response was observed with the 3 gm/day dose. The three doses of Nigella sativa used in the study did not adversely affect either renal functions or hepatic functions of the diabetic patients throughout the study period.


IN CONCLUSION
the results of this study indicate that a dose of 2 gm/ day of Nigella sativa might be a beneficial adjuvant to oral hypoglycemic agents in type 2 diabetic patients.
The influence of childhood sexual abuse, physical abuse, family environment, and gender on the psychological adjustment of adolescents.

OBJECTIVE
The primary aim of the current study was to examine the contributions of sexual abuse, physical abuse, family cohesion, and conflict in predicting the psychological functioning of adolescents. Additional analyses were conducted to determine whether adolescent victims of child sexual abuse and physical abuse perceive their family environments as more conflictual and less cohesive than nonabused adolescents.


METHOD
Participants were 131 male and female adolescents, ages 16 years to 18 years, receiving services at a residential vocational training program. Participants completed well established psychological assessment tools to assess abuse history, family environment characteristics, and current adjustment.


RESULTS
Physically abused adolescent females perceived their family environments as more conflictual and less cohesive than females without physical abuse, and sexually abused females perceived their family environments as more conflictual and less cohesive than females without sexual abuse. Physically abused adolescent males reported more conflict than males without physical abuse, but did not differ with regard to cohesion. Adolescent males with and without a sexual abuse history did not differ on the family dimensions. Multiple regression analyses revealed that both conflict and cohesion, in addition to a history of sexual and physical abuse, predicted depression and distress. Separate analyses by gender revealed these variables differentially impact adjustment in male and female adolescents. Results of a power analysis indicated sufficient power to detect these differences.


CONCLUSIONS
Findings indicate that in addition to child sexual abuse and physical abuse, family conflict and cohesion are risk factors for the development of psychological distress and depression in adolescence. Implications for treatment and directions for future research are discussed.
Acoustic radiation force impulse (ARFI) elastography in acute liver failure: necrosis mimics cirrhosis.

Acoustic radiation force Impulse (ARFI) technology correlates shear-wave velocity with fibrosis. It can differentiate between advanced fibrosis and normal tissue in chronic liver disease. However, specificity is impaired by cholestasis, inflammation or oedema in acute hepatitis. In patients with acute liver failure (ALF) necessitating liver transplantation ARFI has not been evaluated yet. We investigated 3 patients with ALF and compared their ARFI results to those of healthy controls (n = 33) and cases with liver cirrhosis (n = 21). In the 3 ALF patients shear-wave velocities were 3.0, 2.5, and 2.7 m/s, respectively. These results were significantly increased compared to those of healthy controls (median: 1.13 m/s; p < 0.001) and similar to those of cirrhotic individuals (median: 2.93 m/s). Two individuals underwent liver transplantation. Explants showed massive necrosis, but no signs of chronic liver disease. Patient 3 recovered spontaneously and showed decreasing ARFI results during follow-up. In conclusion, hepatic necrosis can mimic liver cirrhosis at ARFI evaluation in ALF patients and this impairs the specificity of ARFI.
Discovering semantic biomedical relations utilizing the Web

To realize the vision of a Semantic Web for Life Sciences, discovering relations between resources is essential. It is very difficult to automatically extract relations from Web pages expressed in natural language formats. On the other hand, because of the explosive growth of information, it is difficult to manually extract the relations. In this paper we present techniques to automatically discover relations between biomedical resources from the Web. For this purpose we retrieve relevant information from Web Search engines and Pubmed database using various lexico-syntactic patterns as queries over SOAP web services. The patterns are initially handcrafted but can be progressively learnt. The extracted relations can be used to construct and augment ontologies and knowledge bases. Experiments are presented for general biomedical relation discovery and domain specific search to show the usefulness of our technique.
The mediating effect of ethical climate on religious orientation and ethical behavior.

BACKGROUND
Nurses' behavior in Educational-Medical centers is very important for improving the condition of patients. Ethical climate represents the ethical values and behavioral expectations. Attitude of people toward religion is both intrinsic and extrinsic. Different ethical climates and attitude toward religion could be associated with nurses' behavior.


AIM
To study the mediating effect of ethical climate on religious orientation and ethical behaviors of nurses.


RESEARCH DESIGN
In an exploratory analysis study, the path analysis method was used to identify the effective variables on ethical behavior. Participants/context: The participants consisted of 259 Iranian nurses from Hamadan University of Medical Sciences. Ethical considerations: This project with an ethical code and a unique ID IR.UMSHA.REC.1395.67 was approved in the Research Council of Hamadan University of Medical Sciences.


FINDINGS
The beta coefficients obtained by regression analysis of perception of ethical climate of individual egoism (B = -0.202, p < 0.001), individual ethical principles (B = -0.184, p = 0.001), local egoism (B = -0.136, p = 0.003), and extrinsic religious orientation (B = -0.266, p = 0.007) were significant that they could act as predictors of ethical behavior. The summary of regression model indicated that 0.27% of ethical behaviors of nurses are justified by two variables: ethical climate and religious orientation.


DISCUSSION AND CONCLUSION
Intrinsic religious orientation has the most direct impact and then, respectively, the variables of ethical climate of perceptions in the dimensions of individual egoism, individual ethical principles, local egoism, global ethical principle, and ethical behavior and extrinsic religious orientation follow. All the above, except global ethical principles and intrinsic orientation of religion have a negative effect on ethical behavior and can be predictors of ethical behavior. Therefore, applying strategies to promote theories of intrinsic religious orientation and global ethical principles in different situations of nursing is recommended.
Convolutional feature masking for joint object and stuff segmentation

The topic of semantic segmentation has witnessed considerable progress due to the powerful features learned by convolutional neural networks (CNNs) [13]. The current leading approaches for semantic segmentation exploit shape information by extracting CNN features from masked image regions. This strategy introduces artificial boundaries on the images and may impact the quality of the extracted features. Besides, the operations on the raw image domain require to compute thousands of networks on a single image, which is time-consuming. In this paper, we propose to exploit shape information via masking convolutional features. The proposal segments (e.g., super-pixels) are treated as masks on the convolutional feature maps. The CNN features of segments are directly masked out from these maps and used to train classifiers for recognition. We further propose a joint method to handle objects and “stuff” (e.g., grass, sky, water) in the same framework. State-of-the-art results are demonstrated on benchmarks of PASCAL VOC and new PASCAL-CONTEXT, with a compelling computational speed.
Educational Needs of Precision Agriculture

Reluctance towards implementation of precision agriculture seems to be based upon accessibility to well-trained, knowledgeable people, and the cost and availability to obtain quality education, training, and products. Given that precision agriculture is rapidly changing and the current trend for accelerated information exchange, educators of precision agriculture face the challenge of keeping pace and providing quality educational programs. This paper addresses how precision agriculture educational programs can be improved. Specific barriers to adoption of precision agriculture are discussed. The learning process of precision agriculture technologies and methods are outlined as six sequential steps. These steps represent a process of increased learning and skill proficiency against which those individuals developing precision agriculture education can use to build and target their programs. The optimal value of information for precision agriculture will be best achieved by producers, agribusinesses, and educators as they improve their: 1) agronomic knowledge and skills, 2) computer and information management skills, and 3) understanding of precision agriculture as a system for increasing knowledge.