Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Preoperative Anxiety on Postoperative Pain after Craniotomy

Pain following craniotomy is challenging. Preoperative anxiety can be one of the controllable factors for prevention of post-craniotomy pain. The main objective of this prospective observational study is to determine this relationship in patients undergoing scheduled craniotomy from February to June 2021. After excluding patients with Mini-Mental State Examination (MMSE) ≤ 24 points, we administered a preoperative State Trait Anxiety Inventory (STAI) questionnaire. We recorded the patient’s analgesic assessment using the Numerical Rating Score (NRS) at 1, 8, 24, and 48 h after surgery. A total of 73 patients were included in the study. Twelve others were excluded due to a MMSE ≤ 24 points. The main predictors for NRS postoperatively at 1, 8, 24, and 48 h were STAI A/E score, male gender, youth, and depression. We identified a cut-off point of 24.5 in STAI A/E for predicting a NRS > 3 (sensitivity 82% and specificity 65%) at 24 h postoperative and a cut-off of 31.5 in STAI A/R (sensitivity 64% and specificity 77%). In conclusion, preoperative STAI scores could be a useful tool for predicting which patient will experience at least moderate pain after craniotomy. The identification of these patients may allow us to highlight psychological preparation and adjuvant analgesia.
Clinical Application of MicroRNAs in Breast Cancer Treatment

Background: Recurrence of breast cancer remains a critical problem. Therefore, it is imperative to identify biomarkers that accurately reflect disease state and develop novel drug therapies that are effective even after recurrence. MicroRNAs (miRNAs) are involved in the malignant transformation of various tumors. Circulating miRNAs are promising biomarkers for the diagnosis and treatment of cancers. Additionally, miRNAs are regarded as next-generation drug targets. Currently, various clinical trials are being conducted for anti-cancer drugs using miRNAs. In this review, we summarized recent studies on miRNA functions and circulating miRNAs in breast cancer, and discussed the status of miRNAs as drug discovery candidates. We also discussed the role of extracellular vesicles (EVs) in the clinical application of miRNAs.Methods: Relevant articles published from 2002 to 2021 were acquired from PubMed database using the following key words: “miRNA” and “breast neoplasia”. Clinical trial data were retrieved from the database, ClinicalTrials.gov. Results: Regulating these miRNAs may provide a new therapeutic strategy. Furthermore, miRNAs may be useful diagnostic and prognostic biomarkers for breast cancer. In addition, miRNAs have potential as anti-cancer agents, and may also be used in combination with other therapies to enhance the efficacies of other drugs.Conclusion: In summary, miRNAs have shown promise as biomarkers and therapeutic targets. In addition, EVs will be the key to expanding the applications of miRNAs.
How the Print Media Industry Survived in the Digital Era

In the era of information technology, print media is on the verge of extinction. The Pikiran Rakyat Newspaper, one of the largest local newspapers in West Java, still survives. This study illustrates how print media can survive in the era of digital society. This research uses a sequential explanatory design method by combining quantitative and qualitative data. Quantitative data was collected using a survey to a sample of readers totaling 1540 respondents. The sample was determined using purposive sampling with unique qualifications for potential readers in West Java. Qualitative data using observation, interviews, and FGD. The quantitative results showed that respondents admitted they were still interested in consuming newspapers. Newspapers have advantages over online media; clickbait does not exist. The qualitative results indicate that print media can still survive, not as a source of income but as an icon of the company.
Balance control based on six-dimensional spatial mechanics and velocity adjustment through region intervention and foot landing for quadruped robot

Abstract Currently, the body balance control algorithm of a quadruped robot executing trot gait motion is more complex and computationally intensive, which is not conducive to improving the real-time control performance of the robot. This paper proposes a six-dimensional spatial mechanics decoupling algorithm to enhance the balance control accuracy during trot gait while optimizing the computational effort. A 6 × 6 matrix is established to describe the relationship between six ground reaction forces of the diagonal supporting leg and six spatial forces and torques controlling robot degrees of freedom, which is optimized to reach the full rank. Decoupling calculation is adopted to obtain required ground reaction forces by matrix inverse operation, and forces are converted to joint motor torques utilizing the Jacobian matrix. The trajectory of the swing leg foot is generated based on cubic interpolation, and the robot motion speed is adjusted by selecting the landing point. This paper also proposes a region intervention control method based on center of mass projection to regulate the moving speed while ensuring the balance of the robot. Finally, the algorithm is verified by simulation using open source software Webots. The results show that when the robot moves at an average speed of 0.5 m/s, the lateral displacement change of the robot is less than 0.009 m, the height change is less than 0.003 m, and the rotating angles around the x, y, and z axes are less than 0.0036 rad, 0.0013 rad, and 0.001 rad, respectively.
Benzyl Isothiocyanate Attenuates Inflammasome Activation in Pseudomonas aeruginosa LPS-Stimulated THP-1 Cells and Exerts Regulation through the MAPKs/NF-κB Pathway

Inflammasomes are a group of intracellular multiprotein platforms that play important roles in immune systems. Benzyl isothiocyanate (BITC) is a constituent of cruciferous plants and has been confirmed to exhibit various biological activities. The modulatory effects of BITC on inflammasome-mediated interleukin (IL)-1β expression and its regulatory mechanisms in Pseudomonas aeruginosa (P. aeruginosa) LPS/ATP-stimulated THP-1 cells was investigated. Monocytic THP-1 cells were treated with phorbol myristate acetate (PMA) to induce differentiation into macrophages. Enzyme-linked immunosorbent assays (ELISA) were performed to measure the levels of IL-1β produced in P. aeruginosa LPS/ATP-exposed THP-1 cells. Western blotting was performed to examine the BITC modulatory mechanisms in inflammasome-mediated signaling pathways. BITC inhibited IL-1β production in P. aeruginosa LPS/ATP-induced THP-1 cells. BITC also inhibited activation of leucine-rich repeat protein-3 (NLRP3) and caspase-1 in P. aeruginosa LPS/ATP-induced THP-1 cells. Furthermore, we show that mitogen-activated protein kinase (MAPK) and nuclear factor-κB (NF-κB) activation in P. aeruginosa LPS was attenuated by BITC. These BITC-mediated modulatory effects on IL-1β production may have therapeutic potential for inflammasome-mediated disorders such as a nasal polyp.
PENDIDIKAN KESEHATAN REPRODUKSI REMAJA DI PONDOK PESANTREN NURUL HARAMAIN NARMADA.

ABSTRAKRemaja adalah aset dan generasi penerus bangsa, sehingga penting sekali memperjuangkan hak remaja untuk memperoleh informasi dan pelayanan kesehatan reproduksi sesuai dengan kebutuhannya. Pengetahuan dan pemahaman yang benar mengenai kesehatan reproduksi dapat menjadi bekal dalam berperilaku yang sehat dan bertanggungjawab. Pada umumnya, remaja akan menghadapi masalah yang sama di awal kematangan reproduksinya yaitu minimnya pengetahuan tentang kesehatan reproduksi akibat terbatasnya akses informasi dan advokasi pada remaja, yang akan berdampak pada cara mereka bersikap dan berprilaku dalam menghadapi masalah kesehatan reproduksinya. Berdasarkan survei yang dilakukan di Pondok Pesantren Haramain menunjukkan bahwa masih banyak remaja yang belum mengetahui tentang kesehatan reproduksi. Hasil akhir yang diharapkan dari pengabdian ini adalah dapat memberikan manfaat pada remaja untuk memiliki pengetahuan dan kesadaran pentingnya kesehatan reproduksi sebagai upaya dalam menjaga kesehatan reproduksinya. Metode yang digunakan adalah ceramah, tanya jawab dan diskusi. Terjadi peningkatan pengetahuan remaja tentang kesehatan reproduksi, sehingga remaja memperoleh informasi yang tepat sebagai bekal untuk bersikap dan berperilaku sehat selama proses pematangan fisiknya. Kata kunci: pendidikan kesehatan; kesehatan reproduksi; remaja ABSTRACTTeenagers are an asset and the next generation of the nation, so it is vital to fight for the rights of teenager to obtain information and reproductive health services according to their needs. Correct knowledge and understanding of reproductive health can be a guide to healthy and responsible behavior. In general, teenagers will face the same problem at the beginning of their reproductive maturity, which is the lack of knowledge of reproductive health as a result of limited access to information and advocacy in teenagers, which will affect how they behave and behave in dealing with their reproductive health problems. Based on a survey conducted at Pondok Pesantren Haramain shows that there are still many teenagers who dont know about reproductive health. The expected outcome of this devotion is to be able to give a benefit for teenagers to have knowledge and awareness about the importance of reproductive health as an effort to maintain their reproductive health. The methods used are lectures, question-and-answer and discussion. There is an increase in teenagers knowledge about reproductive health, so that teenagers get the right information as a provision to behave and behave in a healthy manner during the process of their physical maturity. Key words: health education; reproductive health; teenagers
Sequential Deposition of CH3NH3PbI3 on Planar NiO Film for Efficient Planar Perovskite Solar Cells

The new emerging organometal trihalide perovskite holds great potential for high-efficiency, low-cost solar cells because of its high solar to electricity conversation efficiency (>16%) achieved within 4 years of research and its low-temperature solution processing. In this Letter we introduce NiO as the hole-collecting and -conducting layer in perovskite solar cells. Through a modified sequential deposition strategy, we successfully fabricated high-quality CH3NH3PbI3 onto a planar NiO layer and built a planar inverted ITO/NiO/CH3NH3PbI3/PCBM/Al photovoltaic device. A device efficiency of 7.6% was achieved with an impressively high open-circuit voltage (Voc) of 1.05 V. Our study demonstrates the potential application of a deep work function NiO layer for perovskite solar cells.
АPPLICABILITY OF MICROSATELLITE LOCI DESIGNED FOR COSMOPOLITAN SPECIES FOR THE INVESTIGATION OF ENDEMIC SPECIES: A CASE STUDY OF SILENE SENDTNERI BOISS.

Silene sendtneri Boiss. (Caryophyllaceae) is the Dinaric endemic plant species with white, decorative and scented flowers. Previous studies on this endemic species were based on morphology and effects on seed germination after the treatment with salicylic acid. However, no molecular genetic studies have been conducted on this species so far. This paper presents preliminary results of the usefulness of microsatellite loci created for cosmopolitan species in assessing the genetic diversity of endemic plant species. A total of 100 specimens were collected from 18 localities in the mountain regions of Treskavica, Igman, Bjelašnica and Ozren in Bosnia and Herzegovina. No S. sendtneri individuals were found at the mountain Trebević. We tested cross-amplification success and a polymorphism level for the set of microsatellite markers (Sil01, Sil03, Sil16, Sil31, Sil35) designed for the cosmopolitan species Silene nutans. In 100 analyzed individuals of S. sendtneri, Sil31 and Sil35 did not amplify, Sil01 was monomorphic and the remaining two loci showed a high level of allelic diversity. Our findings suggest that caution should therefore be exercised in selecting microsatellite markers designed for cosmopolitan plant species in the analyses of endemic species of the same genus since different genetic factors affect the amplification success and polymorphism of the given loci. Attention should be given to the number of detected and effective alleles and their ratio, the success of locus amplification concerning the complete set of markers used, and the ratio of polymorphs to the total number of observed loci.
A Novel Data Augmentation Convolutional Neural Network for Detecting Malaria Parasite in Blood Smear Images

ABSTRACT Malaria fever is a potentially fatal disease caused by the Plasmodium parasite. Identifying Plasmodium parasites in blood smear images can help diagnose malaria fever rapidly and precisely. According to the World Health Organization (WHO), there were 241 million malaria cases and 627 000 deaths worldwide in 2020, while 95% of malaria cases and 96% of malaria deaths occurred in Africa. Also in Africa, children that are less than five years old accounted for an estimated 80% of all malaria deaths. To address the menace of malaria, this paper proposes a novel deep learning model, called a data augmentation convolutional neural network (DACNN), trained by reinforcement learning to tackle this problem. The performance of the proposed DACNN model is compared with CNN and directed acyclic graph convolutional neural network (DAGCNN) models. Results show that DACNN outperforms previous studies in processing and classification images. It achieved 94.79% classification accuracy in malaria blood sample images of balanced class dataset obtained from the Kaggle dataset. The proposed model can serve as an effective tool for the detection of malaria parasites in blood smear images.
Impact of Producer’s Environmental Performance on Consumers and Retailers Simultaneously in the Indonesian Retail Environment

Producers improve environmental performance to reduce the release of post-production waste. The positive environmental performance of producers is expected to influence consumer environmental attitudes positively, specifically toward post-consumption waste. However, research is deficient in exploring the impact of producer environmental performance (PEP) on retailer-consumer relationship quality (RCRQ) and consumer purchasing behavior (CPB) simultaneously to drive consumer environmental attitude (CEA) in the retail environment. Therefore, this study aims to examine the effect of PEP on RCRQ and CPB simultaneously to drive CEA in the retail environment. The survey was conducted at 17 retail outlets for 150 consumers of lubricant producers in the industrial city of Gresik, Indonesia. Partial Least Square analysis indicates that consumers perceive PEP has positive effects on CEA, but negatively affects RCRQ and positively affects CPB. Thereby, CPB has a more significant positive effect than RCRQ on CEA. Although RCRQ and CPB have significant positive total effects, CPB has a more significant indirect effect than RCRQ in mediating the effect of PEP on CEA. This study provides actionable guidance to reduce the negative impact of PEP on RCRQ to enhance the mediating role of RCRQ for more positive consumer environmental attitudes.
Decentralized LQG Control With $d$-Step Delayed Information Sharing Pattern

In this article, we study a class of discrete-time decentralized linear-quadratic-Gaussian (LQG) control problems with two controllers and $d$-step delayed information sharing pattern. An explicit form of the pair of optimal linear controllers is obtained in terms of backward Riccati equations and forward equations of estimation error covariance. To overcome the difficulty that arises due to the coupling of the backward–forward equations, we propose a forward iteration approach to derive a steady-state solution. This accordingly leads to an asymptotically optimal linear controller where the feedback gains are designed by using the convergent steady-state solutions.
Three‐dimensional human activity recognition by forming a movement polygon using posture skeletal data from depth sensor

Human activity recognition in real time is a challenging task. Recently, a plethora of studies has been proposed using deep learning architectures. The implementation of these architectures requires the high computing power of the machine and a massive database. However, handcrafted features‐based machine learning models need less computing power and very accurate where features are effectively extracted. In this study, we propose a handcrafted model based on three‐dimensional sequential skeleton data. The human body skeleton movement over a frame is computed through joint positions in a frame. The joints of these skeletal frames are projected into two‐dimensional space, forming a “movement polygon. ” These polygons are further transformed into a one‐dimensional space by computing amplitudes at different angles from the centroid of polygons. The feature vector is formed by the sampling of these amplitudes at different angles. The performance of the algorithm is evaluated using a support vector machine on four public datasets: MSR Action3D, Berkeley MHAD, TST Fall Detection, and NTU‐RGB+D, and the highest accuracies achieved on these datasets are 94.13%, 93.34%, 95.7%, and 86.8%, respectively. These accuracies are compared with similar state‐of‐the‐art and show superior performance.
Signaling Mechanisms and Pharmacological Modulators Governing Diverse Aquaporin Functions in Human Health and Disease

The aquaporins (AQPs) are a family of small integral membrane proteins that facilitate the bidirectional transport of water across biological membranes in response to osmotic pressure gradients as well as enable the transmembrane diffusion of small neutral solutes (such as urea, glycerol, and hydrogen peroxide) and ions. AQPs are expressed throughout the human body. Here, we review their key roles in fluid homeostasis, glandular secretions, signal transduction and sensation, barrier function, immunity and inflammation, cell migration, and angiogenesis. Evidence from a wide variety of studies now supports a view of the functions of AQPs being much more complex than simply mediating the passive flow of water across biological membranes. The discovery and development of small-molecule AQP inhibitors for research use and therapeutic development will lead to new insights into the basic biology of and novel treatments for the wide range of AQP-associated disorders.
Prediction model based on least squares support vector machine with harmony search and its application

Aimed at the blindness of parameter selection and kernel function of LSSVM,a new heuristic global optimization algorithm: harmony search algorithm was employed to realize the adaptive selections of regularization parameter γ and kernel function parameterσ,and a novel fusion algorithm: Harmony Search Least Squares Support Vector Machine (HS-LSSVM) was brought forward. According to the measured field data of dam,the HS-LSSVM-based prediction model was applied to forecast the deformation of dam. Compared with BP neural network model and statistical regression model,we can conclude that HS-LSSVM based prediction model can possess smaller prediction error and higher prediction precision. Therefore,the HS-LSSVM prediction model can realize the automatic selection of model parameters and improve the training efficiency and the prediction precision.
"B Vitamin Intake and the Risk of Colorectal Cancer Development: A Systematic Review and Meta-Analysis of Observational Studies"

Methylenetetrahydrofolate Reductase; Newcastle-Ottawa Preferred Reporting for Systematic Reviews and Meta-Analyses; Quality of Life; Relative S-Adenosyl-homocysteine; S-Adenosylmethio-nine; Background: Cancer research has increased interest in lifestyle factors. These can affect colorectal cancer burden, which is the second common cause of cancer death worldwide, although 40% of the cases would be preventable. Aim: We aimed to conduct a systematic review and meta-analysis on relationship between B vitamin intake and colorectal cancer where 14 publications were analysed. Methods: We carried out a systematic search of scientific literature based on PRISMA statements. Combined effect size (CES), confident interval (CI), prediction interval (PI), I2 and publication bias were calculated during statistical analysis of selected studies. Results: Combined effect sizes showed inverse association between higher intake of vitamin B2 (CES = 0.90; CI95% 0.83 - 0.97; I2 = 0.00%, p = 0.910), B6 (CES = 0.80; CI95% 0.68-0.92; I2 = 9.17%, p = 0.359) and CRC. We could not confirm the higher dietary intake of vitamin B12 reducing the risk of CRC. Vitamin B2 and B6 could compensate the effect of MTHFR C677T polymorphism (CES = 0.81; CI95% 0.64 - 0.98; I2 = 0.00%, p = 0.515) as well. Conclusion: Our results suggest that optimal intake of vitamin B2 and B6 could be important dietary factors in prevention of CRC. The association with vitamin B12 is inconsistent as its bioavailability is affected by other lifestyle factors. Vitamin B2 and B6 could influence MTHFR enzyme activity, therefore these vitamins might be incorporated into screening process of CRC with recommendations for specific diet.
Facebook groups as transnational counter public sphere for diasporic communities

Abstract Mainstream media tend to frame media content from the perspectives of locals and seldom in the interest of diasporic communities. However, the emergence of social media has supported the existence of online diasporic communities. Deploying insights from the concepts of alternative media, digital counter public sphere and hidden transcript, this study explores the use of Facebook groups by Zimbabwean diaspora to form transnational online communities and connect with the homeland. This is a netnographic study of selected Facebook groups of Zimbabweans residing abroad. The study shows that since mainstream media in both home and host countries tend to exclude and marginalise interests of diasporic communities, Facebook has become an alternative counter public sphere for diasporic communities. Due to the affordances of social media, networking sites can be expedient platforms for creating diasporic networks, facilitating information circulation and enabling unrestricted and wide-ranging public debate; however, they can be volatile and susceptible to cybercrime and cyberbullying. The study demonstrates conundrums of online-based communities with regard to issues of trust, legitimacy, accountability and regulation. Research Article; Cultural Studies; 60 Arts & Humanities; 60.2. 13 Media Communication; 60.3 Humanities; 60.3. 6 Cultural Studies; 60.4 Language & Literature; 60.4. 1 Language & Linguistics
Static load sharing behavior in NGW planetary gear train with unequal modulus and pressure angles

An analytical model for NGW planetary gear train with unequal modulus and pressure angles was presented,and in consideration of the eccentric error and tooth-frequency error of parts,a static equation of the NGW planetary system was developed based on the theory of equivalent mesh error and the principle of static equilibrium.After equation was solved,the load sharing characteristics were compared with the normal gear transmission.Also the load sharing behavior of each planet was analyzed and compared by the sun and the ring pressure angle,the difference of the gear error,the variety of mesh stiffness and support stiffness.The analysis results show that planetary gear train with unequal modulus and pressure angles has better load sharing behavior,which does not change significantly with the different pressure angles,the floating sun gear has improved the load sharing behavior substantially,and the planets fixed with the same production batch and the lower support stiffness of the sun and the planets benefit the load sharing behavior.