Miracle-dz/UniFAR-FTUs huggingface dataset:
Meta-analysis of traditional Chinese medicine combined with chemotherapy in postoperative patients with gastric cancer

Objective To evaluate the effect of traditional Chinese medicine combined with chemotherapy in postoperative patients with gastric cancer by the Meta-analysis method.Methods The published papers of postoperative gastric cancer patients treated by traditional Chinese medicine combined with chemotherapy in SinoMed,CNKI and Wanfang Data from January 2002 to November 2012 were searched.15 articles were eventually brought into the randomized controlled trial according to the inclusion and exclusion criteria.Nausea vomiting incidence,white blood cells reduce incidence,1 year survival rate and 3 years survival rate were observed;Meta analysis was carried out by Rev Man 5.0 software.Results Nausea vomiting incidence and white blood cells reduce incidence in traditional Chinese medicine combined with chemotherapy group were all lower than those in pure chemotherapy group,1 year survival rate and 3 years survival rate in traditional Chinese medicine combined with chemotherapy group were higher than those in pure chemotherapy group,the differences were statistically significant(P 0.01). Conclusion traditional Chinese medicine combined with chemotherapy in postoperative patients with gastric cancer can reduce the adverse effects of chemotherapy,prolong survival time,so it is better than chemotherapy alone.
Intravitreal Bevacizumab for Treatment of Central Serous Chorioretinopathy

Purpose: To compare the outcomes of treatment with intravitreal bevacizumab (IVB) versus observation in central serous chorioretinopathy (CSCR). Methods: In a retrospective comparative study, records of 45 patients with CSCR were reviewed. Twenty-two patients received IVB (1.25 mg/0.05 ml) while 23 subjects were observed. All subjects underwent measurement of best corrected visual acuity (BCVA) and intraocular pressure (IOP), dilated fundus examination and optical coherence tomography (OCT) imaging at baseline and follow up visits. Outcome measures included central macular thickness (CMT) and BCVA in logarithm of minimum angle of resolution (logMAR) notations. Results: Mean age was 44.1 ± 9.3 (range: 24 to 64) years and mean follow-up period was 10.4 ± 11.2 (range: 3 to 43; median: 6) months. All patients demonstrated resolution of neurosensory detachment and improvement in visual acuity. At final visit, there was no significant difference in mean CMT between the IVB and observation groups (275 vs 284 μm, P> 0.05). Mean baseline logMAR visual acuity was 0.38 ± 0.24 in the IVB group which improved to 0.24 ± 0.31 at final follow-up (P = 0.011); mean baseline logMAR visual acuity was 0.42 ± 0.28 in the observation group and improved to 0.12 ± 0.18 (P = 0.001). Visual improvement was more marked in the observation group (0.30 vs 0.14 logMAR, P< 0.05) and mean final visual acuity was also significantly better (P = 0.05). Conclusion: There was no significant difference between IVB injection and observation in terms of anatomical outcomes of treatment for CSCR. In terms of visual outcomes, observation was superior to IVB injection.
Assessment of the performance of eight filtering algorithms by using full-waveform LiDAR data of unmanaged eucalypt forest

Motivation • While a general understanding of the accuracy of the LiDAR systems has been achieved, the accuracy of the derived DTM from LIDAR data in forest environments has not been thoroughly evaluated mainly in unmanaged eucalypt forests. • Although the comparison of the performance of several filter algorithms has been assessed quantitatively by using the omission and commission errors, this procedure becomes impractical when the data are collected in unmanaged forested areas with high point densities (>1 pts/m2). This is because the manually classification of the millions of points involved in a single survey is an unfeasible task. Aims • Evaluate the strengths and weaknesses of eight filtering algorithms by using the mean, standard deviation and RMSE metrics.
Critical Review of Organization-Technology Sensemaking: Critical Review of Organization-Technology Sensemaking: Towards Technology Materiality, Discovery and Action Towards Technology Materiality, Discovery and Action

More than two decades of sensemaking research has brought thorough knowledge of how people understand organizational phenomena and attach meaning to them. This stream of research explores varied social and cognitive aspects of the process in the context of organizations and information technology (IT). However, such a large body of literature exhibits some significant shortcomings: there is a lack of IT materiality; a neglect of the discovery aspect of perception; and a lack of action orientation. So, there is limited understanding of the role that the material artifact plays in shaping users’ sensemaking of new IT, as well as how users’ actions affect their sensemaking. Moreover, while the literature mostly focuses on sensemaking as the creation of new meanings to rationalize user experiences, it neglects the discovery aspect of sensemaking that refers to perception of the meaning already available. To address these issues, this article provides a thorough review of the literature on organization-technology sensemaking and synthesizes our current understanding of the phenomenon. It then analyzes the major shortcomings in our knowledge and highlights the need to address those shortcomings. It subsequently discusses an ecological approach consistent with the tenets of critical realism that can address the existing shortcomings.
PENYEBAB RENDAHNYA KELENGKAPAN KUNJUNGAN ANTENATAL CARE IBU HAMIL DI WILAYAH KERJA PUSKESMAS PEGAMBIRAN

Antenatal Care (ANC) yang berkualitas sesuai standar yang telah ditentukan oleh Pemerintah yaitu 1 kali dalam trimester I, 1 kali trimester II dan 2 kali trimester III untuk menurunkan angka kesakitan dan kematian ibu. Kota Padang menetapkan pelayanan ANC tersebut dengan 10 T. Penelitian ini bertujuan untuk mengetahui Penyebab rendahnya kelengkapan kunjungan ANC ibu hamil di wilayah kerja Puskesmas Pegambiran tahun 2013. Penelitian ini dilakukan bulan Januari - Oktober 2013 dengan desain cross sectional study. Jumlah populasi 87 orang, besar sampel 46 orang, metode pengambilan sampel proporsional sampling. Pengumpulan data menggunakan kuesioner, dan dianalisis secara univariat dan bivariat dengan uji chi square. Hasil penelitian ini didapatkan 63% responden memiliki tingkat pengetahuan rendah, 67,4% memiliki sikap negatif, 43,5% responden mengatakan peran bidan kurang baik saat kunjungan, 58,7% responden menyatakan keluarga tidak mendukung. Untuk itu diperlukan upaya peningkatan peran bidan, meningkatkan peran dan dukungan suami agar ibu hamil dapat melaksanakan kunjungan ANC dengan lengkap. Kata Kunci: Antenatal Care, Pengetahuan, Sikap, Peran Bidan, Dukungan Keluarga
Cautionary Note on the Two-Step Transformation to Normality

Templeton and Burney (2017) proposed a two-step normality transformation as a remedy for non-normally distributed data, which are commonly found in AIS research. We argue that, rather than transforming the data toward normality, researchers should first seek to analyze and understand the sources of non-normality. Using simulated datasets, we demonstrate three sources of non-normality and their consequences for regression estimation. We then demonstrate that the two-step transformation cannot solve any of these problems and that each source of non-normality can be handled with alternative, existing techniques. We further present two empirical examples to demonstrate these issues with real datasets.
A Deep Learning Approach for Face Detection and Location on Highway

Face detection and location technique is a hot research direction during recent years. Especially, driver face detection on highway is still a challenging problem in social safty deserving research. This paper proposes a novel algorithm based on the improved Multi-task Cascaded Convolutional Networks (MTCNN) and Support Vector Machine (SVM) to realize accurate face region detection and feature location of driver's face on highway, predicting face and feature location via a coarse-to-fine pattern. The proposed algorithm is verified under various complex highway conditions. Experimental results show that the proposed model shows satisfied performance compared to other state-of-the-art techniques used in driver face detection and alignment, keeping robust to the occlusions, varying pose and extreme illumination on highway.
Resource Allocation for Secure Communications in Cooperative Cognitive Wireless Powered Communication Networks

We consider a cognitive wireless powered communication network sharing the spectrum with a primary network, which faces security threats from eavesdroppers (EAVs). We propose a new cooperative protocol for the wireless powered secondary users (SUs) to cooperate with the primary user (PU). In the protocol, the SUs first harvest energy from the power signals transmitted by the cognitive hybrid access point during the wireless power transfer phase, and then use the harvested energy to interfere with the EAVs and gain transmission opportunities at the same time during the wireless information transfer phase. Taking the maximization of the SU ergodic rate as the design objective, resource allocation algorithms based on the dual optimization method and the block coordinate descent method are proposed for the cases of perfect channel state information (CSI) and collusive/non-collusive EAVs under the PU secrecy constraint. More PU favorable greedy algorithms aimed at minimizing the PU secrecy outage probability are also proposed. We furthermore consider the unknown EAVs’ CSI case and propose an efficient algorithm to improve the PU security performance. Extensive simulations show that our proposed protocol and corresponding resource allocation algorithms can not only let the SU gain transmission opportunities but also improve the PU security performance even with unknown EAVs’ CSI.
Object detection based on visual memory: a feature learning and feature imagination process

ABSTRACT Visual memory plays an important role for the human’s visual system to detect objects. The features of an object stored in the visual memory have much lower dimensions than the features contained within an image. We simulate the visual memory as a feature learning and feature imagination (FLFI) process to build an object detection algorithm. The method is constructed by a bottom-up feature learning and a top-down feature imagination. The proposed object detection method is tested using publicly available benchmark data sets, and the result indicates that it is fast and more robust.
An improved algorithm for optimizing MapReduce based on locality and overlapping

MapReduce is currently the most popular programming model for big data processing, and Hadoop is a well-known MapReduce implementation platform. However, Hadoop jobs suffer from imbalanced workloads during the reduce phase and inefficiently utilize the available computing and network resources. In some cases, these problems lead to serious performance degradation in MapReduce jobs. To resolve these problems, in this paper, we propose two algorithms, the Locality-Based Balanced Schedule (LBBS) and Overlapping-Based Resource Utilization (OBRU), that optimize the Locality-Enhanced Load Balance (LELB) and the Map, Local reduce, Shuffle, and final Reduce (MLSR) phases. The LBBS collects partition information from input data during the map phase and generates balanced schedule plans for the reduce phase. OBRU is responsible for using computing and network resources efficiently by overlapping the local reduce, shuffle, and final reduce phases. Experimental results show that the LBBS and OBRU algorithms yield significant improvements in load balancing. When LBBS and OBRU are applied, job performance increases by 15% from that of models using LELB and MLSR.
Alternatives to estimate stature during nutritional assessment of children with cerebral palsy

INTRODUCTION: The assessment of nutritional status plays a critical role in comprehensive child care, however, in children with cerebral palsy (CP) is difficult to meet some reliable anthropometric measures, particularly height. OBJECTIVE: To determine if the equations to estimate stature, developed and validated in CP populations of other countries, apply to our reality. PATIENTS AND METHOD: An anthropometric assessment in 60 children with cerebral palsy that included measurement of weight, height and body segments like tibia length (TL) and knee height (KH) was performed. The height was estimated using the above described segments and the Stevenson et al.¹ equations. The correlation and agreement between the measured and the estimated stature were evaluated. RESULTS: Height could be reliably measured in 36 individuals and in all cases height was estimated. The correlation between the measured and the estimated lengths for TL and KH was 0.975 and 0.981 respectively (p < 0.001). The analysis of agreement between the estimated and measured lengths showed on average a significant level of agreement, with an error of -2.96 cm for TL and 0.21 cm for KH. CONCLUSIONS: The equations to estimate stature from the body segments, tibia length and knee height, are valid and useful to assess the linear growth in children with CP in our population.
Veterinary epidemiology--a key to sustainable pig production in Switzerland.

: Sustainable animal production requires a healthy production system including healthy animals producing wholesome products. Epidemiology as a discipline is concerned with the occurrence of disease or disease indicators in populations as well as with factors influencing disease occurrence. By providing this information, epidemiology contributes significantly to the development and maintenance of healthy livestock. This is illustrated with the example of the enzootic pneumonia (EP) eradication programme of Switzerland. A series of observational studies were conducted in order to obtain the necessary knowledge to implement an area-wide EP eradication programme. The issues of economical eradication strategies at the herd level and the risk of re-infections were addressed. Simulation modelling and economical analysis were also applied. These research projects led to the successful start of a national eradication programme. The example of the EP eradication programme illustrates that applied epidemiological research provides critical information for the planning, implementation and evaluation of disease control programmes and is thus a key tool in developing sustainable animal production.
Understanding kinematics graphs using MBL tools, simulations and graph samples in an interactive engagement context in a Ghanaian university

Many students have problems when it comes to describing the shapes of displacement, velocity and acceleration-time graphs (x, v, a-t graphs), conversion of graphs from one form into another, and calculating and getting the meaning of slopes and areas under kinematics graphs. They often describe shapes of graphs as pictures and give interpretation without taking into cognizance of the type of graph being considered. In this study, 37 first year university physics students (Group One: 17 students and Group Two: 20 students) at the University of Education in Winneba (Ghana) in two consecutive years, were introduced to the use of microcomputer based laboratory (MBL) tools; simulations and graph samples to practice and describe the shapes of kinematics graphs; conversion of graphs from one form to the other; calculation of slopes and areas under kinematics graphs, and their meanings, all in an interactive engagement teaching. Students were made to answer the “Test of Understanding Graphs in Kinematics” (TUG-K) before and after the introduction of the use of MBL tools, simulations and graph samples. Students’ scores were compiled and converted to mean proportion scores and average normalized gain 〈g〉, under the four concepts “Area under the graph (meaning and calculation); Slope (meaning and calculation); Graph description; and Graph transformation”. The results indicate that the first year university students in the two groups all did better in describing the shapes of kinematics graphs, transforming kinematics graphs, calculating and getting the meaning of slopes and areas under kinematics graphs when they were tested with the same instrument after instruction in kinematics. This goes to show that MBL tools, simulations and graph samples when used in an interactive engagement manner can improve the teaching and learning of kinematics graphs in physics.
Postpartum Rh Immunoprophylaxis

The postpartum dose of Rh immune globulin varies according to an individual laboratory estimation of fetal red blood cells in each mother’s peripheral blood. In the United States, a four-step procedure determines the postpartum dose (number of vials of 300 micrograms; 1,500 international units) of Rh immune globulin (anti-D) for each RhD-negative mother who has delivered an RhD-positive newborn and has not already formed anti-D. The first step is a rosette fetal red blood cell screen to determine whether an excessive (greater than 30 mL fetal whole blood) fetomaternal hemorrhage occurred. If the rosette screen is negative, the mother receives one vial of Rh immune globulin for Rh immunoprophylaxis. If the rosette screen is positive, the blood sample is retested by a quantitative method, typically an acid-elution (Kleihauer-Betke) assay. The result of the acid-elution assay is converted to an estimation of the volume of the fetomaternal hemorrhage, which is the basis for calculating the dose of Rh immune globulin. The acid-elution assay is subjective, imprecise, and poorly reproducible. As a result, the formula for calculating the dose includes a precautionary adjustment, adding an extra vial in borderline situations to prevent underdosing. Flow cytometry is a more precise method for quantifying a fetomaternal hemorrhage. However, few hospitals use flow cytometry, because it is not cost-effective to maintain an expensive, high-technology laboratory service for the relatively few occasions when a precise quantitative determination of fetomaternal hemorrhage is required.
High Effectiveness in Actions of Carfilzomib on Delayed-Rectifier K+ Current and on Spontaneous Action Potentials

Carfilzomib (CFZ, Kyprolis®) is widely recognized as an irreversible inhibitor of proteasome activity; however, its actions on ion currents in electrically excitable cells are largely unresolved. The possible actions of CFZ on ionic currents and membrane potential in pituitary GH3, A7r5 vascular smooth muscle, and heart-derived H9c2 cells were extensively investigated in this study. The presence of CFZ suppressed the amplitude of delayed-rectifier K+ current (I K(DR)) in a time-, state-, and concentration-dependent manner in pituitary GH3 cells. Based on minimal reaction scheme, the value of dissociation constant for CFZ-induced open-channel block of I K(DR) in these cells was 0.33 µM, which is similar to the IC50 value (0.32 µM) used for its efficacy on inhibition of I K(DR) amplitude. Recovery from I K(DR) block by CFZ (0.3 µM and 1 µM) could be well fitted by single exponential with 447 and 645 ms, respectively. The M-type K+ current, another type of K+ current elicited by low-threshold potential, was slightly suppressed by CFZ (1 µM). Under current-clamp condition, addition of CFZ depolarized GH3 cells, broadened the duration of action potentials as well as raised the firing frequency. In A7r5 vascular smooth muscle cells or H9c2 cardiac cells, the CFZ-induced inhibition of I K(DR) remained efficacious. Therefore, our study led us to reflect that CFZ or other structurally similar compounds should somehow act on the activity of membrane KV channels through which they influence the functional activities in different types of electrically excitable cells such as endocrine, neuroendocrine cells, smooth muscle cells, or heart cells, if similar in vivo findings occur.
Evaluating the relationship between smartphone addiction/overuse and musculoskeletal pain among medical students at Qassim University

Background: Smartphone use has greatly increased in recent days, and most of the daily tasks are done through these devices. As a result, long time use may involve bad posture that may result in musculoskeletal pain. Therefore, it is important to evaluate the association between addiction/overuse of smartphones and musculoskeletal pain. Aim: To determine the prevalence of addictive/overuse of smartphones among medical students and to investigate if there is an association between smartphone addiction and musculoskeletal pain. Method: A cross-sectional study conducted at Qassim University, medical college. The Smartphone Addiction Scale Short Version (SAS-SV) was used to measure the level of smartphone addiction while the Nordic musculoskeletal questionnaire (NMQ) was utilized to evaluate the musculoskeletal pain. Results: The prevalence of smartphone addiction among medical students was relatively high (60.3%). The most frequent pain related to smartphone addiction was in the neck (60.8%), followed by lower back (46.8%), shoulder (40.0%). The academic year level was statistically associated with the level of smartphone addiction. Moreover, we found a significant relationship between musculoskeletal pain and smartphone addiction at certain body regions, neck, wrist/hand and knees, Other musculoskeletal parameters included in the test were found to have no statistically significant association. Conclusion: More than half of the medical students identified as addicted to smartphones. The most common musculoskeletal pain was the neck, lower back, and shoulder. The academic year level found to have a significant association with the level of smartphone addiction while musculoskeletal pain such as neck, wrist, and knee were the independent significant factors of smartphone addiction; therefore, it is important to educate the community about the effect of being addicted to smartphone use in order to prevent the consequences of this behavior.
Gender determination using mandibular canine index in general population

Context: Gender determination of skeletal remains is part of archeological and medicolegal examination. In forensic investigations mandibular canines provide excellent material to identify gender as they are more likely to survive in disaster. Dimorphism in mandibular canines is of immense use in forensic investigation. Aim: The aim of study was to establish mandibular canine index (MCI) for gender determination in general population for age group of 18--30 years and to find out efficiency of MCI in establishing gender identity of individual. Setting and Study Design: Patients reporting to Department Of Oral Medicine and Radiology are selected for study after applying inclusion and exclusion criteria. Materials and Methods: The study was conducted on 200 subjects in general population; (100 males and 100 females). Following parameters were considered in study; mesiodistal width of right and left mandibular canine, intercanine arch width and right and left MCI. All measurements were taken intraorally and then on dental casts of same individuals followed by MCI calculation. Statistical Analysis Used: In the entire study the P –value less than 0.05 was considered to be statistically significant. The entire data were statistically analyzed by using (SPSS ver 16, IBM corporation, USA). Results: Using the MCI value, gender can be correctly predicted up to 81% in females and 85% in males. Overall, percentage accuracy of MCI in prediction of gender was 83%. The standard MCI value was 0.2661. Also, right canine was found to exhibit more dimorphism than left canine. Conclusion: It was evident from this study that MCI is a good tool for determining gender. It is quick, reliable, and inexpensive method. Along with other parameters it increases percentage accuracy of predicting gender.