bluuebunny/crossref_metadata_2025 huggingface dataset:
Crime-Specific Recidivism in Criminal Justice Clients with Substance Use - a Cohort Study
Authors: Karlsson Anna , Håkansson Anders
Published: March 2022

Background: Criminal recidivism is a major global concern. There is a well-known relation between substance use disorders and offending. Yet, little is known about crime-specific recidivism. The aim of this study was to investigate the relation between specific substance use and crime-specific recidivism. Methods: The study is based on 4,207 Swedish prison clients with substance use assessed with Addiction Severity Index interviews between 2001 and 2006. Clients were followed for an average of 2.7 years. Risk factors for criminal recidivism were assessed with Cox regression analysis. Results: Sixty-eight percent of the clients returned to the criminal justice system. Apart from well-known risk factors such as male gender and young age, amphetamine, injection drug use, prior prosecution for violent and property crime as well as homelessness and psychiatric problems were risk factors for criminal recidivism. Sedatives and cannabis were in this setting negative risk factors for general recidivism. Age, heroin and injection drug use elevated risks of recidivism to property and drug crime. Alcohol was associated with violent recidivism. Conclusions: Looking at different categories of crime separately, risk factors differed substantially. This further highlight the need for crime-specific research. Identifying crime-specific risk factors should be an important part of improving rehabilitation into society after imprisonment and hopefully decrease recidivism.
Inhibition of the TLR4/NF-κB/TNF-α axis by TAK-242 or PDTC reduces central nervous system inflammation to alleviate lipopolysaccharide induced sickness behaviors in mice
Authors: Tuo Peng , Wang Yanjie , Chen Weiming , Xie Jiehong , Jie Yingxi , Liu Jinfa , Liu Xianbao , Zhang Wei , Wang Shouping
Published: March 2022

Background: During the pathogenic microorganisms infection, animals will exhibit sickness behaviors, yet there is a lack of sufficient research on the pathogenesis of sickness behaviors and related treatments. We aim to ascertain the molecular mechanisms of lipopolysaccharide (LPS)-induced sickness behaviors and to find potential therapeutic methods.Methods: In this study, the mice with sickness behaviors elicited by LPS were utilized as the case group and the LPS-exposed mice treated with TAK-242 and PDTC were adopted as the treatment groups (TAK-242+LPS and PDTC+LPS), with PBS-treated mice as the control group. Expression patterns of nucleic acids, cytokines, or pathways were detected by transcriptome-wide analysis of hippocampal samples, enzyme-linked immunosorbent assay (ELISA), immunofluorescence staining, and Western blot assay.Results: Our results demonstrated marked cognitive dysfunction and emotional disorders in the LPS-induced sickness model mice, accompanied by activation of microglia and astrocytes in the hippocampus. RNAseq results showed 524 up-regulated genes and 126 down-regulated genes in the hippocampal tissues. Among them, 108 DEGs were involved in signal transduction, and NF-kappa B (NF-κB), Toll-like receptor (TLR), and TNF-α pathways were the pathways enriched with the largest number of genes. LPS-exposed mice were treated with two pathway inhibitors, TAK-242 and PDTC, respectively. Both of the two could significantly ameliorate the cognitive dysfunction caused by LPS, notably block the microglial activation in the hippocampus, and reduce the levels of neuroinflammatory factors such as IL-1a, IL-6, and TNF-α.Conclusion: Our results suggest that the TLR4/NF-κB/TNF-α axis may be a potential mechanism by which LPS-triggered neuroinflammation leads to sickness behaviors and that inhibitors TAK-242 and PDTC have potential therapeutic value.
SERPINB7, TMEM158, and SERPINE1 signature as predictors of non-small-cell lung cancer prognosis after intravenous vitamin C treatment
Authors: Ou Junwen , Liao Qiulin , Du Yanping , Xi Wentao , Meng Qiong , Li Kexin , Cai Qichun , Pang Clifford L.K.
Published: March 2022

Background: Vitamin C (VitC) has been proposed as a potential anti-cancer agent for prolonging progression-free survival (PFS) and overall survival (OS) in non-small-cell lung cancer (NSCLC) patients. However, VitC has only been shown to be effective for some patients, and the mechanism in those who have benefitted from it remains unknown. We aimed to explore whether gene expression could predict IVC benefit for patients with NSCLC. Methods: H1299 and PC9 cells were treated with VitC and high-throughput sequencing was used for screening differential genes. Data from the Kaplan-Meier Plotter and the Human Protein Atlas databases were used for analysis of patient prognoses. In a retrospective study, 153 NSCLC patients from our Cancer Center were selected and divided into a control group (n = 81) and VitC group (n = 72) for immunohistochemical staining and prognosis analysis. Results: As a result, ZNF507, DLX4, and DDIT4 were found to be upregulated, and SERPINB7, TMEM158 and SERPINE1 downregulated in NSCLC cell lines following VitC treatment. Combined patient data from the cohort analysis and online databases revealed that the downregulated genes, but not upregulated genes, presented an unfavorable prognostic predictor of OS in NSCLC patients. Further analysis showed that the combined three genes were more efficient at predicting survival than individually (AUC=0.77, 95%CI, 0.63-0.90). Moreover, high expression of SERPINB7, TMEM158, and SERPINE1 in resected tumour- tissues before VitC treatment was found to be associated with prolonged OS in patients with NSCLC who were treated with VitC. Conclusion: Overall, these data revealed that SERPINB7, TMEM158, and SERPINE1 formed a novel NSCLC prognosis gene set and could serve as a potential therapeutic target as well as predictive factor for VitC treatment in patients with NSCLC. Trial registration: Retrospectively registered (No: 2/2021-PRE-48) on July 13, 2021.
Prediction of tool wear on workpiece surface quality based on milling topography analysis
Authors: Zhang Wei , Zhang Lei , Zheng Minli , Li Kangning
Published: March 2022

The surface quality of the workpiece has a great impact on the performance of the product. It has always been a key issue of the manufacturing discipline. The different wear levels of cutting tools determine the surface quality of the workpiece. Therefore, the work of this article is to establish a model for calculate the surface quality of the workpiece after milling. First, by defining the tool wear area S and the wear position angle ψ , the cutting edge line model of the tool is determined. Based on the tool motion trajectory and roughness calculation principle, a milling topography simulation roughness model considering tool wear is obtained. Secondly, the tool wear parameters were calibrated with the help of image detection methods, and the predicted values obtained by the model were compared with the experimental values. The law of the influence of the tool wear area S and the wear position angle ψ on the roughness parameters was obtained. Finally, the least squares support vector machine LS-SVM was used to verify the error of the roughness model of the milling topography simulation, and the result showed that the average error of the model was 8.68%.
Closed-form solution of oscillating Maxwell nano-fluid with heat and mass transfer; an application in engine oil
Authors: Farooq Aamir , Alharbi Abdulaziz N. , Rehman Sadique , Kamran Muhammad , Khan Ilyas
Published: March 2022

The primary goal of this article is to analyze the oscillating behavior of Maxwell Nano-fluid with regard to heat and mass transfer. Due to high thermal conductivity engine oil is taken as a base fluid and graphene Nano-particles are introduced in it. Coupled partial differential equations are used to model the governing equations. To evaluate the given differential equations, certain dimensionless factors and Laplace transformations are used. The analytical solution is obtained for temperature, concentration and velocity. The temperature and concentration gradient are also finds to analyze the rate of heat and mass transfer. As a special case, the solution for Newtonian fluid is discussed. Finally, the behaviors of various physical factors are studied graphically for both sine and cosine oscillation and give physical meanings to most of the parameters.
A case of Sheehan syndrome six years postpartum with hypothyroidism and mild hyponatremia
Authors: Jindal Himanshu , Mishra Priya , Khan Efa , Palawat Sandeep Singh
Published: March 2022

Sheehan syndrome, also referred to as postpartum hypopituitarism is often a sequela of massive post-partum hemorrhage in resource poor healthcare settings where blood loss during delivery is often neglected. The diagnosis of this rare but fatal is disease is often delayed because the symptoms are vague and the pituitary dysfunction is insidious in nature. This condition sometimes takes more than a decade before it is diagnosed. The classic signs and symptoms include agalactia, secondary amenorrhea and dry wrinkling skin. Often an empty or a partially empty sella is seen on magnetic resonance imaging of the brain. We present the case of a 35-year-old multiparous female with anhedonia and raised serum transaminases who presented to our side with mild hyponatremia and hypothyroidism. She got diagnosed with Sheehan syndrome at our set up six years after her last obstetric event. Through this case report, we intend to provide a clinical account of the patient’s condition and management.
Developing standardized & interoperable psychiatric discharge summary with role-based user access
Authors: mishra Hara prasad , mishra Smruti sikta
Published: March 2022

Discharge summary is one of the key components of Electronic health records. For mental health patients, the discharge summary serves the dual purpose of communication with primary care and as a future reference within healthcare. Pertaining to the critical sensitivity of the condition and social stigma associated with mental health, people with mental health-related disorders may have health concerns and multiple dilemmas about their post-discharge life. Currently, in many cases, like for insurance purposes, post-discharge care, and medications, the patient has to share the complete discharge summary despite the fact that the document owner might not need the complete discharge summary with all components. We addressed this problem by developing a standardized & interoperable psychiatric discharge summary with role-based access. The discharge summary is based on FHIR standards so as to ensure standardized data sharing and integration. The discharge summary is thus divided into multiple components based on FHIR standards and sensitivity of the medical records and information. The built in feature of role based access will ensure that patients share only that component of the discharge summary which they require.
Optimal duration of antibiotics therapy after Video-assisted thoracoscopic surgery in thoracic empyema and complicated parapneumonic effusion
Authors: Yukumi Shungo , Ishimaru Kei , Suzuki Hideaki , Abe Masahiro , Morimoto Masamitsu , Senba Mayuko , Yamamoto Tetsuya , Mori Yu , Sakao Nobuhiko , Sano Yoshifumi
Published: March 2022

Background
There is no evidential report about the optimal duration of antibiotics use following Video-assisted thoracoscopic surgery debridement (VATS-D) in thoracic empyema (TE) or complicated parapneumonic effusion (PPE). The purpose of this study was to determine the optimal duration of antibiotics therapy after VATS-D for TE /PPE.
Methods
Between January 2011 and December 2019, total thirty-three patients (28 men, 5 women; median age 63 years) corresponding to ACCP category 3 or 4 recieving VATS-D were included in the study. Time until the body temperature (BT) confirmed to be less than 37.5 ºC and 37.0ºC, WBC to be less than10,000/µl, segmented neutrophil (seg) to be less than 80% were retrospectively analyzed.
Results
Median time from the onset of TE/PPE to operation was 13 days. Pre and postoperative antibiotics use were 5 and 7 days in median value. There was no hospital death within 30 days from the operation. Major complication occurred in 4 cases (3 respiratory failures and one cerebral infarction). Median postoperative hospital stay was 14 days. Success rate in TE/PPE treatment was 88%. The median number of days until the conditions met were BT > 37.5 ºC for 3 days, BT > 37.0 ºC for 6 days, WBC < 10,000 for 4 and seg < 80% for 7 days.
Conclusion
Optimal antibiotics duration of antibiotics use after VATS-D for TE/PPE is about 5 days. Urgent VATS-D will shorten the total antibiotics duration.
Trace element partitioning between anhydrite, sulfate melt, and silicate melt
Authors: Hutchinson Michael C. , Brooker Richard A. , Blundy Jon D. , Dilles John H. , Lewis Charles T.
Published: March 2022

Anhydrite has become increasingly recognized as a primary igneous phase since its discovery in pumices from the 1982 eruption of El Chichón, Mexico. Recent work has provided evidence that immiscible sulfate melts may also be present in high-temperature, sulfur-rich, arc magmas. In this study we present partition coefficients for 37 trace elements between anhydrite, sulfate melt and silicate melt based on experiments at 0.2–1 GPa, 800–1200 °C, and fO2 > NNO+2.5.

Sulfate melt–silicate melt partition coefficients are shown to vary consistently with ionic potential (the ratio of nominal charge to ionic radius, Z/r) and show peaks in compatibility close to the ionic potential of Ca and S. Partition coefficients for many elements, particularly REE, are more than an order of magnitude lower than previously published data, likely related to differences in silicate melt composition between the studies. Several highly charged cations, including V, W, and Mo are somewhat compatible in sulfate melt but are strongly incompatible in anhydrite. Their concentrations in quench material from natural samples may help to fingerprint the original presence of sulfate melt.

Partition coefficients for 2+ and 3+ cations between anhydrite and silicate melt vary primarily as a function of the calcium partition coefficients (DCaAnh−Sil) and can be described in terms of exchange reactions involving the Ca2+ site in anhydrite. Trivalent cations are dominantly charge-balanced by Na1+. Most data are well fit using a simple lattice-strain model, although some features of the partitioning data, including DLaAnh−Sil>DCeAnh−Sil, suggest the occurrence of two distinct anhydrite Ca-sites with slightly different optimum radii at the experimental conditions.

The ratio DSrAnh−Sil>DCaAnh−Sil is shown to be relatively insensitive to silicate melt composition and should vary from 0.63–0.53 between 1200–800 °C, based on a simple, “one-site” lattice strain model. Comparison to DSrAnh−Sil and DCaAnh−Sil calculated for natural anhydrite suggests that in most cases, including the S-rich eruptions of Pinatubo and El Chichón, the composition of anhydrite is consistent with early crystallization of anhydrite close to the liquidus of silicate melt with a composition approximately that of the bulk erupted material. This illustrates how anhydrite (and perhaps sulfate melt) provides a mechanism to transport large quantities of sulfur from significant depth to the eruptive environment.
URGENSI INTERPERSONAL SKILL DALAM DAKWAH PERSUASIF
Authors: Sakdiah Halimatus
Published: March 2022

As social beings, each individual will have to interact with the others. Da’wah is a kind of social interaction activities. So, everyone needs to be able to understand, to respond, to know each other and to express his ideas to the others. Interpersonal skill is a basic skill in which everyone should belong to in order to have smooth interactions, especially when he conducts preaching (da’wah). Preachers should have this basic skill to understand and to appreciate the others in order to get success in conducting persuasive da’wah. This paper specifically explores the importance of interpersonal skills for a preacher in implementating persuasive da’wah.***Sebagai makhluk sosial, setiap individu akan senantiasa berinteraksi dengan individu lainnya. Dakwah merupakan salah satu bentuk kegiatan interaksi sosial. Untuk itu diperlukan kemampuan memahami, merespon, mengenal orang lain dan menyampaikan pesan dan maksud yang diinginkan. Interpersonal skill merupakan keterampilan dasar yang harus dimiliki individu agar interaksi dapat berjalan lancar, termasuk dalam pelaksanaan dakwah. Keterampilan interpersonal membantu da’i dalam memahami dan menghargai orang lain, yang pada akhirnya dapat membawa kesuksesan dalam pelaksanaan dakwah persuasif. Tulisan ini secara khusus mengupas tentang pentingnya interpersonal skill bagi seorang da’i dalam pelaksanaan dakwah persuasif.
KOMUNIKASI BRAND LEMBAGA DAKWAH: Studi pada Lembaga Amil Zakat Rumah Zakat
Authors: Marfu’ah Usfiyatul , Sulthon Moh.
Published: March 2022

Amil zakat institution is part of da’wa institution. One of many amil zakat institutions which four times renamed is Rumah Zakat. Submission Brand to society is not easy. The successness institution which a brand is depend to pattern and type of communication. This research purpose to know the reason of amil zakal institution as da’wa institution. And to know about brand communication in Rumah Zakat. This research qualitative with method of collecting data use three method, there are observation, interview, and dokumentation. The reseacrh shows us that first amil zakat institution is a part of da’wa institution. Second, brand communication which did by Rumah Zakat brought da’wa to society. Communication brand consist three step, program making, marketing communication, and field action.\***Lembaga amil zakat merupakan bagian dari lembaga dakwah. Salah satu lembaga amil zakat yang empat kali berganti nama adalah Rumah Zakat. Penyampaian brand, kepada masyarakat tentunya tidaklah mudah. Keberhasilan maksud dan tujuan lembaga yang dikemas melalui brand sangat bergantung pada pola dan jenis komunikasi yang digunakan dalam menyampaikan brand. Penelitian ini untuk mengetahui alasan keterkaitan antara lembaga amil zakat sebagai lembaga dakwah, serta mengetahui komunikasi brand yang dilakukan oleh lembaga amil zakat Rumah Zakat. Penelitian ini merupakan penelitian kualitatif dengan menggunakan teknik penggalian data melalui wawancara dan dokumentasi. Hasil penelitian menemukan; pertama, lembaga amil zakat merupakan bagian dari lembaga dakwah dikarenakan sebagian besar aktivitas lembaga amil zakat adalah bagian dari dakwah. Kedua, komunikasi brand yang dilakukan oleh lembaga amil zakat Rumah Zakat bertujuan agar pesan-pesan (dakwah) lembaga amil zakat sampai dan dapat diterima oleh masyarakat. Komunikasi brand dilakukan melalui tiga cara, yakni; pembuatan program; marketing communication tools, dan aksi lapangan
Occurrence and toxicological assessment of selected active pharmaceutical ingredients in effluents of pharmaceutical manufacturing plants and wastewater treatment plants in Kampala, Uganda
Authors: Kayiwa R. , Kasedde H. , Lubwama M. , Kirabira J. B. , Kayondo Timothy
Published: March 2022

There is an increasing eco-toxicological risk associated with pharmaceuticals globally. The prevalence of six active pharmaceutical ingredients (APIs) was studied in effluents of three pharmaceutical manufacturing plants (PMPs) and two wastewater treatment plants (WWTPs) in Kampala, Uganda to ascertain the removal potentials for APIs. The APIs include atenolol, losartan, carbamazepine, sulfamethoxazole, clarithromycin, and diclofenac. The APIs were extracted using solid-phase extraction cartridges and concentrations were analyzed using a liquid chromatography-mass spectrometer system. The concentration ranges of the APIs were <limit of detection (LOD), <LOD – 4.75, <LOD – 1.37, <LOD – 1.17, and 0.28–19.55 mgL−1 for losartan, diclofenac, sulfamethoxazole, carbamazepine, and clarithromycin respectively in effluents of WWTPs, whereas in treated wastewater from PMPs concentrations were 0.00, 0.00–0.23, 5.30–7.4, 0.00–0.14, and 0.12–4.53 mgL−1 for losartan, diclofenac, sulfamethoxazole, carbamazepine, and clarithromycin respectively. The API removal efficiency of PMPs was higher than WWTPs with some APIs removed to concentrations of <LOD. The range of hazard quotients (HQs) for APIs was 0.018–0.9775000 with most of the APIs posing remarkably high environmental risks at HQs way greater than 1. Only sulfamethoxazole from the effluents of Lubigi WWTP, Bugolobi WWTP, and PMP C posed low risks with HQs of <1 at 0.018, 0.305, and 0.018 respectively. The high HQs for most APIs imply that immediate recipients are at very high toxicological risks, yet most studies have focused on the final destinations of APIs in environments where toxicological risks are often minimal due to dilution effects.
The ATP-dependent Pathways and Human Diseases
Authors: Suwara Justyna , Radzikowska-Cieciura Ewa , Chworos Arkadiusz , Pawlowska Roza
Published: March 2022

Adenosine triphosphate (ATP) is one of the most important molecules of life,
present both inside the cells and extracellularly. It is an essential building block for nucleic
acids biosynthesis and crucial intracellular energy storage. However, one of the most
interesting functions of ATP is the role of a signaling molecule. Numerous studies indicate
the involvement of ATP-dependent pathways in maintaining the proper functioning
of individual tissues and organs. Herein, the latest data indicating the ATP function in the
network of intra- and extracellular signaling pathways including purinergic signaling,
MAP kinase pathway, mTOR and calcium signaling are collected. The main ATP-dependent
processes maintaining the proper functioning of the nervous, cardiovascular and immune
systems, as well as skin and bones, are summarized. The disturbances in the ATP
amount, its cellular localization, or interaction with target elements may induce pathological
changes in signaling pathways leading to the development of serious diseases. The impact
of an ATP imbalance on the development of dangerous health dysfunctions such as
neurodegeneration diseases, cardiovascular diseases (CVDs), diabetes mellitus, obesity,
cancers and immune pathogenesis are discussed here.
Comparison of Diagnostic Accuracies of USG, MG and MRI Modalities
Defined with BI-RADS Classification System
Authors: Serinsöz Serdar , Akturk Remzi
Published: March 2022

Background:

BI-RADS classification provides facilitating information in diagnosis for radiologists. It allows radiologists to interpret mammograms accurately

Objective:

We aimed to compare the diagnostic accuracy of the modalities with the BI-RADS classification system made with imaging findings accompanied by USG, MG and MRI, which are a total of 3 modalities.

Methods:

This study included 82 patients who underwent Tru-Cut biopsy under the guidance of USG, MG, and MRI. Mammography, sonography and MRI were performed in the prone position.

Results:

Of the patients, 46.3%, 14.6%, and 39.0% were assessed in 4A, 4B, and 5 MRI BI-RADS categories, respectively. Based on the variable surgical/pathological diagnosis, 50%, 28.0%, and 22.0% of the patients were categorized as malignant findings, benign findings, and infection-inflammation-mastitis, respectively. The determination of the endpoints for the parameter of long-axis diameter (mm) was found to be statistically significant according to ROC analysis as a gold standard performed based on specificity levels of benign and malignant findings (p<0.05). A significant correlation was detected between the gold standard and the categorical variable MRI BI-RADS (χ^2=46.380, p<0.01).

Conclusion:

When specificity and sensitivity of all three modalities in surgical/pathological diagnosis were compared, it was concluded that MRI was superior to the other modalities, and a valuable method in prediction of lesion malignancy and determination of biopsy prediction and priority.
Therapeutic Strategies for COVID-19 Patients: An Update
Authors: Getso Muhammad Ibrahim , Etemadi Soudabeh , Raissi Vahid , Mohseni Moein , Mohseni Maedeh Sadat , Raeisi Farid , Raiesi Omid
Published: March 2022

The novel coronavirus SARS-coV-2, which emerged in Wuhan in November 2019, has increasingly spread, causing a global pandemic that infected more than 444 million people, resulting in severe social and economic ramifications, and claimed more than 6,010,000 lives by March 5, 2022. The pandemic attracted global attention with consequential multiple economic, social, and clinical studies. Among causes of poor clinical outcomes of the disease are therapeutic challenges, leading to spirals of studies in search of better therapeutic alternatives. Despite the worsening circumstances of the pandemic, no drug has yet shown remarkable efficacy in the clinical management of COVID-19 patients in large-scale trials. Many potential therapeutic strategies, including the use of nucleotide analogs, chloroquine phosphate, arbidol, protease inhibitors (lopinavir/ritonavir), plasma, monoclonal antibodies, plastic antibodies based on molecularly imprinted polymers (MIPs), traditional Chinese medicine (TCM), nanomaterials, vaccine, and mesenchymal stem cells (MSCs), have emerged with various degrees of successes. Remdesivir and dexamethasone have now been licensed based on the results of randomized controlled trials. Baricitinib, the Janus kinase (JAK) 1/2 inhibitor, is also an attractive candidate due to its properties as a potent anti-inflammatory agent and its hypothesized offtarget antiviral effects against SARS-CoV-2. Besides, human plasma from recovered COVID-19 patients is theoretically expected to be safe and effective for both therapy and post-exposure prophylaxis. In light of the literature, the correlation between the reduction of C5aR1/C5aR2 and the IL6-IL6R axis, using the available anti-IL6R mAb would be crucial. Moreover, MSCs are a potential therapeutic choice for patients with COVID-19 pneumonia. The coronavirus spike (S) protein that mediates the process of the infection via binding of host cells to the virus receptor is an essential focus for vaccine development. Importantly, with the number of patients increasing daily, there is an urgent need for effective therapeutic intervention. In this review, we expatiated on several strategies deployed for the treatment of COVID-19 infection.
Research on super directional antennas for wireless power transmission
Authors: Saito Atsushi
Published: March 2022

Professor Atsushi Saito and Takehiro Sato, Saito Laboratory, Graduate School of Science and Engineering, Yamagata University, Japan, are working to advance the technology of wireless power transfer using microwaves. This could make it possible for electric vehicles to be charged wirelessly
while driving, as well as for drones to be charged in flight. The research could also potentially benefit factories, eliminating the need for many complex wirings for factory equipment by introducing a wireless supply system. In their work, Saito and Sato are striving to advance the technology
of wireless power transfer using microwaves and are currently applying superconducting technology to the transmitting antenna, which is filling a research gap. A central idea is to improve the directivity by narrowing down the radio waves and sending them only to the desired location. With
support from Fuji Electric corporation, the researchers have designed and evaluated a microwave antenna that uses a high temperature superconductivity (HTS) thick disk as a patch antenna, enabling wireless transfer and obtaining a resonance frequency of 4.996 GHz. This has established the
foundations for future work by confirming it is possible to design the desired HTS antenna.
GEREDE-KAVACIK BÖLGESİ BAZALTLARININ ENDÜSTRİYEL KULLANIMI AÇISINDAN UYGUNLUĞUNUN BELİRLENMESİ
Authors: YILDIZ Taşkın Deniz , GÜLTEKİN Ali Haydar , ÖZDAMAR Şenel
Published: March 2022

Bu çalışmada, Ankara-Bolu arasında, Galatya Volkanik Bölgesi olarak adlandırılan volkanik kayaçların bir parçasını oluşturan Bolu-Gerede Kavacık sahası baz alınarak bölge bazaltlarının endüstriyel kullanım alanlarına uygunluğu araştırılmıştır. Laboratuvar çalışmalarında, arazi çalışmaları kapsamında uygun görülen lokasyonlardan alınan numuneler üzerinde iki aşamalı çalışma yapılmıştır. İlk aşamada örneklerin mineralojik ve petrografik analizleri yapılmıştır. Numunelerin makroskopik özelliklerinden, renk, yapı ve doku, ayrışma, sertlik, ayrışma özelliği, cila kabulü ve asitte çözünürlülük özellikleri belirlenmiştir. Mikroskopik özelliklerinden mineral içerikleri, yapı, doku, granüler dağılımları belirlenmiştir. Bu analiz sonuçları jeokimyasal analiz sonuçlarıyla birlikte değerlendirilmiştir. İkinci aşamadaysa numunelerin fizikomekanik özelliklerinden yoğunluk, kuru birim ağırlıkları, ağırlıkça-hacimce su emme, gözeneklilik, dona dayanıklılık, metilen mavisi, tek eksenli basınç dayanımı testleri yapılmıştır. Çıkan sonuçlara göre Gerede-Kavacık bazaltları belli şartlarda, doğal taş haliyle deniz dolgusunda (blok-taş olarak), anroşman inşaatında ve benzeri işlerde, kaplama taşı ve doğal yapıtaşı olarak, ya da taban döşemesinde, dış cephe kaplamasında, ve kaya yünü olarak kullanıma uygundur.
TÜRKİYE’DE NESNELERİN İNTERNETİ (IOT) ALANINDA YAZILMIŞ YÜKSEK LİSANS TEZLERİNİN İNCELENMESİ-BİR META ANALİZ ÇALIŞMASI
Authors: ALKAN Ayşe , KIRBAŞ İsmail
Published: March 2022

21. yüzyılın en önemli gelişmelerinden biri olan nesnelerin interneti(intenet of things-IoT) ile her geçen daha çok nesnenin internete erişmesi ve günlük yaşamda geniş yer alması bu alandaki akademik alandaki çalışmaların sayısını da her geçen gün arttırmaktadır. Bu çalışmanın amacı; 2017-2021 yılları arasında Bilgisayar Mühendisliği Anabilim Dalında yapılmış “nesnelerin interneti” konusunda yapılmış olan yüksek lisans tezlerinin incelenmesidir. Bu çalışma betimsel bir özellik göstermektedir ve veri toplama tekniği olarak doküman incelemesi kullanılmıştır. Veri analizi olarak içerik analizi yapılmıştır. YÖK Ulusal Tez Merkezi veri tabanında 90 yüksek lisans tezine ulaşılmıştır çalışma sorularına göre analiz edilmiştir. Araştırma sonucunda akıllı ev, akıllı şehir uygulamaları, sağlık alanında yapılan uygulamalar ve sensör uygulamalarının en çok çalışılan konular olduğu görülmüştür. Çalışma sonuçlarının araştırma yapacak araştırmacılara rehberlik edeceği düşünülmektedir.
AKI VE KAYMA FREKANSI KESTİRİMİ İLE ASENKRON MOTORUN ALGILAYICISIZ SKALER HIZ DENETİMİ
Authors: GÜLBAHÇE Mehmet Onur , KARAASLAN Muhammed Emin
Published: March 2022

Bu çalışma, asenkron motorun hız kontrolü için algılayıcısız bir skaler denetim algoritması ortaya koymaktadır. İlk olarak, motor gerilimleri ve akımları ölçülerek stator akısı tahmin edilmiş ardından asenkron motorun matematiksel modeline göre kayma frekansı hesaplanmış ve uygulanması gereken gerilim değeri kayma frekansının değerine göre yeniden hesaplanmıştır. Stator direncinin üzerindeki düşen gerilimi kompanze etmek için otomatik gerilim yükseltme kontrolörü tasarlanmıştır. Kontrolör parametreleri doğadan ilham alan optimizasyon algoritmalarından olan genetik algoritma ile hesaplanmıştır. Son olarak, önerilen kontrol algoritmasının başarımını irdelemek için, 18 kW'lık bir asenkron motorda geniş bir hız aralığında benzetim sonuçları verilmiştir.
A NOVEL BI-OBJECTIVE MODEL FOR A MULTI-PERIOD MULTI-PRODUCT CLOSED-LOOP SUPPLY CHAIN
Authors: AYDIN Nadi Serhan
Published: March 2022

Closed-loop supply chain (CLSC) is a kind of supply chain which contains forward and backward flows of commodities within a logistics network. In the decision-making process of CLSC, locational, inventory control and transportation issues are addressed to deal with strategic, tactical and operational decisions. This paper utilizes a novel bi-objective mixed-integer linear programming (MILP) model to formulate a multi-period multi-product CLSC design problem considering aggregate cost minimization and service level maximization at the same time. To tackle the bi-objectiveness of the model, goal attainment method (GAM) is applied which is then executed by Gurobi Python API to test the applicability of the suggested model for three different scales (small, medium and large). It is demonstrated that the proposed methodology can find the optimal solutions for different problems in a maximum of 500 seconds. Finally, a set of sensitivity analyses is carried out on the main parameters in order to test the behaviors of the objective functions and suggest managerial insights as well as decision aids. The results reveal that the model is highly dependent on the demand parameter, that is, an increase in demand is closely related to an increase in the aggregate cost and a simultaneous downward trend in the service level.
Methods to Establish Race or Ethnicity of Twitter Users: Scoping Review
Authors: Golder Su , Stevens Robin , O'Connor Karen , James Richard , Gonzalez-Hernandez Graciela
Published: March 2022

Background

A growing amount of health research uses social media data. Those critical of social media research often cite that it may be unrepresentative of the population; however, the suitability of social media data in digital epidemiology is more nuanced. Identifying the demographics of social media users can help establish representativeness.

Objective

This study aims to identify the different approaches or combination of approaches to extract race or ethnicity from social media and report on the challenges of using these methods.

Methods

We present a scoping review to identify methods used to extract the race or ethnicity of Twitter users from Twitter data sets. We searched 17 electronic databases from the date of inception to May 15, 2021, and carried out reference checking and hand searching to identify relevant studies. Sifting of each record was performed independently by at least two researchers, with any disagreement discussed. Studies were required to extract the race or ethnicity of Twitter users using either manual or computational methods or a combination of both.

Results

Of the 1249 records sifted, we identified 67 (5.36%) that met our inclusion criteria. Most studies (51/67, 76%) have focused on US-based users and English language tweets (52/67, 78%). A range of data was used, including Twitter profile metadata, such as names, pictures, information from bios (including self-declarations), or location or content of the tweets. A range of methodologies was used, including manual inference, linkage to census data, commercial software, language or dialect recognition, or machine learning or natural language processing. However, not all studies have evaluated these methods. Those that evaluated these methods found accuracy to vary from 45% to 93% with significantly lower accuracy in identifying categories of people of color. The inference of race or ethnicity raises important ethical questions, which can be exacerbated by the data and methods used. The comparative accuracies of the different methods are also largely unknown.

Conclusions

There is no standard accepted approach or current guidelines for extracting or inferring the race or ethnicity of Twitter users. Social media researchers must carefully interpret race or ethnicity and not overpromise what can be achieved, as even manual screening is a subjective, imperfect method. Future research should establish the accuracy of methods to inform evidence-based best practice guidelines for social media researchers and be guided by concerns of equity and social justice.
How Vaccine Ambivalence Can Lead People Who Inject Drugs to Decline COVID-19 Vaccination and Ways This Can Be Addressed: Qualitative Study (Preprint)
Authors: Aronson Ian David , Bennett Alex S , Ardouin-Guerrier Mary-Andrée , Rivera-Castellar German , Gibson Brent , Santoscoy Samantha , Vargas-Estrella Brittney
Published: March 2022

BACKGROUND

People who inject drugs are disproportionately impacted by SARS-CoV-2 and COVID-19, yet they do not frequently accept vaccination against SARS-CoV-2 when offered.

OBJECTIVE

This study aimed to explore why people who inject drugs decline free vaccines against SARS-CoV-2 and how barriers to vaccination can potentially be addressed.

METHODS

We conducted semistructured qualitative interviews with 17 unvaccinated adult persons who inject drugs during August and September 2021 at a New York City syringe service program, where approximately three-fourth of participants identified as Latino (55%) or African American (22%). Interviews lasted roughly 20 minutes. The interview guide examined reasons for declining vaccination, participants’ understanding of COVID-19 risks, and how messages could be developed to encourage vaccine uptake among people who inject drugs.

RESULTS

Participants acknowledged that they faced increased risk from SARS-CoV-2 owing to their injection drug use but feared that long-term substance use may have weakened their health, making them especially vulnerable to side effects. Fears of possible side effects, compounded by widespread medical mistrust and questions about the overall value of vaccination contributed to marked ambivalence among our sample. The desire to protect children and older family members emerged as key potential facilitators of vaccination.

CONCLUSIONS

Community-developed messages are needed in outreach efforts to explain the importance of vaccination, including the far greater dangers of COVID-19 compared to possible unintended side effects. Messages that emphasize vaccines’ ability to prevent inadvertently infecting loved ones, may help increase uptake. Community-focused messaging strategies, such as those used to increase HIV and hepatitis C virus testing and overdose prevention among people who inject drugs, may prove similarly effective.
Correction: Rehabilitation Needs, Service Provision, and Costs in the First Year Following Traumatic Injuries: Protocol for a Prospective Cohort Study (Preprint)
Authors: Soberg Helene Lundgaard , Moksnes Håkon Øgreid , Anke Audny , Røise Olav , Røe Cecilie , Aas Eline , Sveen Unni , Gaarder Christine , Næss Pål Aksel , Helseth Eirik , Dahl Hilde Margrete , Becker Frank , Løvstad Marianne , Bartnes Kristian , Schäfer Christoph , Rasmusssen Mari S , Perrin Paul , Lu Juan , Hellstrøm Torgeir , Andelic Nada
Published: March 2022

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Twenty Years of the HIPAA Safe Harbor Provision: Unsolved Challenges and Ways Forward. (Preprint)
Authors: Krzyzanowski Brittany , Manson Steven M
Published: March 2022

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The Health Insurance Portability and Accountability Act (HIPAA) was an important milestone in protecting the privacy of patient data, but the HIPAA provisions specific to geographic data remain so vague as to hinder the ways in which epidemiologists and geographers use and share spatial health data. The literature on spatial health and select legal and official guidance documents present scholars with ambiguous guidelines that have led to the use and propagation of multiple interpretations of a single HIPAA safe harbor provision specific to geographic data. Misinterpretation of this standard has resulted in many entities sharing data at overly conservative levels while others offer definitions of safe harbor that potentially put patient data at risk. To promote understanding of, and adherence to, the safe harbor rule, this paper examines HIPAA law from its creation through to present day, elucidating the common misconceptions and presenting straightforward guidance to scholars. We focus on the 20,000-person population threshold and the 3-digit zip code stipulation of safe harbor which are central to the confusion surrounding how patient location data can be shared. A comprehensive examination of these two stipulations that integrates various expert perspectives and relevant studies, reveals how alternative methods to safe harbor can offer researchers better data and better data protection. Much has changed in the twenty years since the introduction of the safe harbor provision, and yet it continues to be the primary source of guidance (and frustration) for researchers trying to share maps, leaving many waiting for these rules to be revised in accordance with the times.
MCNERD: Focus on medicine and privacy, a new Named Entity Recognition Chinese dataset (Preprint)
Authors: Chiang Sheng-Han , Kao Hung-Yu , Ko Nai-Ying
Published: March 2022

BACKGROUND

Many medical procedures are carried out in the hospital through the dialogue between the medical or health education personnel and the patient. Through the conversation, medical personnel make differential diagnosis to give appropriate medical management. However, the process of dialogue or question-and-answer requires professional medical personnel to carry out, and the labor cost will be a significant challenge to the efficiency of the medical system.

However, if you want to use the dialogue or question-and-answer process as various medical materials, you will face the dilemma of public privacy in medical research. How to conduct medical research reasonably under the protection of people's most critical privacy rights is also a significant problem that needs to be faced in the medical field today.

OBJECTIVE

Our goal is to propose a new dataset—the Medical Chinese Named Entity Recognition Dataset, also known as MCNERD, which becomes a high-quality training dataset in the Chinese medical field. It has two characteristics: it is closer to the real situation of medical consultation and incorporates medical-related and privacy-related entity types, so that deep learning can have more data and templates that can be used in this regard.

METHODS

During the collection process, we collect the conversations between doctors and patients in public hospitals by the research regulations and perform de-linking processing to protect the public's privacy. In addition, we refer to the dataset format of the N2C2 competition and the Kaggle competition. Each block will contain a doctor-people consultation dialogue and an entity mark in a specified form.

RESULTS

Analyze the contents of MCNERD, including dataset characteristics, article length, entity type, proportion, difficulty, and also evaluate human performance on this dataset.

CONCLUSIONS

In this paper, we introduce the MCNERD dataset, a Chinese dataset for NER generated explicitly for the medical domain, which contains 409 inter-diagnostic conversations, 14 entity types that need to be identified, for a total of 8456 entities.
BCDRRLE: A Bidirectional Cross-Dynamic Round Robin Learning Encoder Model for Medical Sentence Similarity (Preprint)
Authors: Huang Bo
Published: March 2022

BACKGROUND

In recent years, the construction of medical informatization has achieved remarkable results. A large number of electronic medical records are stored in medical electronic systems. With the continuous progress and development of Natural Language Processing (NLP) technology, researchers are focusing their attention on developing Artificial intelligence (AI) systems using large electronic health records (EHRs). How to efficiently retrieve and recommend similar content from massive EHRs is an urgent problem to be solved.

OBJECTIVE

This paper mainly solves the following problems for medical text similarity—(1)our model can effectively alleviate the problem of insufficient data in supervised learning (2)existing methods cannot generate high-quality sentence vectors (3) how to mine enough knowledge from unsupervised data?

METHODS

We propose a bidirectional cross-dynamic polling learning encoder model. This model uses semi-supervised learning to generate high-quality sentence vectors when there is a small amount of labeled data.

RESULTS

Our proposed Bidirectional Cross-Dynamic Round Robin Learning Encoder(BCDRRLE)structural model outperforms state-of-the-art models on three medical text sentence similarity datasets. Furthermore, our model can also produce higher-quality sentence representations.

CONCLUSIONS

The experimental results demonstrate that our proposed BCDRRLE structure model can still produce very good results in the case of a small amount of data. By introducing contrastive learning and an enhanced version of the denoising autoencoder, our model can efficiently produce high-quality sentence representations. Our proposed dynamic polling learning algorithm helps to further improve the performance of the model. Our approach not only yields better performance but is also more general and can be extended to other related task domains that use text representations.
Changing the Name of Schizophrenia in East Asia: A Keyword Search Analysis Using Google Trends (Preprint)
Authors: Chen Po-Yu , Dai Ying-Xiu , Chen Tzeng-Ji
Published: March 2022

BACKGROUND

Schizophrenia is a kind of mental disorder, strongly associated with stereotypes, prejudice, and discrimination. The media sometimes strengthens this view and spreads negative images of people with schizophrenia. To change the disorder’s image, renaming it has been conducted in East Asia, including Japan, South Korea, and Taiwan. Hong Kong also involved in the campaign under special condition.

OBJECTIVE

This study investigates the trends of using the old and new names for schizophrenia in countries or regions that renamed the disorder, including Japan, South Korea, and Taiwan. Hong Kong has been included under a special condition. Further, we identified the impact of renaming in traditional and simplified Chinese in countries or regions where the ethnic Chinese population constitutes over 1% of the total population.

METHODS

Using the old and new names of schizophrenia, a retrospective analysis of terms used in schizophrenia web search activity data was conducted using Google Trends. We also investigated related search trends in 19 countries with ethnic Chinese populations constituting over 1% of the total population. The search time was set from January 2004 to December 2021. Finally, we performed news searches on schizophrenia in the local language of each country to confirm the relationship between the relative search peak and important social events with Google.

RESULTS

Overall, the searches of the old name gradually decreased, and searches of the new names increased. Hong Kong used similar names with different meanings. After prominent events related to schizophrenia, searches for it usually increased.

CONCLUSIONS

Our findings suggest that people in these places realized the renaming efforts. Search peaks are generally related to the important social events that are related to schizophrenia. Further studies are needed to investigate the destigmatizing effects of renaming schizophrenia.

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Metadata Correction: Clinical Outcomes Among Working Adults Using the Health Integrator Smartphone App: Analyses of Prespecified Secondary Outcomes in a Randomized Controlled Trial (Preprint)
Authors: Bonn Stephanie , Licitra Gabriella , Bellocco Rino , Trolle Lagerros Ylva
Published: March 2022

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