bluuebunny/crossref_metadata_2025 huggingface dataset:
PENGARUH PENGGUNAAN APLIKASI VISITING PATIENT TERHADAP TINGKAT STRES PASIEN RAWAT INAP DI RUMAH SAKIT MARGONO SOEKARJO
Authors: Mutfii Hasnah , Wahyudin Wahyudin , Burkon Lily Kusumawati , Wibowo Yudhi , Sylviningrum Thianti
Published: May 2023

Latar belakang: Stres adalah perasaan psikologis akibat adanya tekanan mental dan dapat memberi respon negatif terhadap kesehatan. Stres dapat berkurang dengan adanya penambahan pengetahuan melalui suatu informasi dan edukasi yang disampaikan dari media aplikasi. Aplikasi visiting patient adalah aplikasi berbasis android berisi tentang keutamaan orang yang sedang sakit. Penelitian ini bertujuan untuk mengetahui pengaruh penggunaan aplikasi visiting patient terhadap tingkat stres pasien rawat inap RS Margono Soekarjo.

Metode: Penelitian ini menggunakan jenis kuantitatif quasi experimental dengan rancangan penelitian pre and post-test with control group design. Teknik pengambilan data secara non random sampling dengan pendekatan consecutive sampling. Jumlah responden 24 kontrol dan 24 intervensi. Pengukuran tingkat stres menggunakan kuesioner Depression and Anxiety Stress Scale (DASS) 21.

Hasil: Rerata tingkat stres pre-test pada kelompok kontrol 9.67 dan pada kelompok intervensi 11.92, sedangkan rerata post-test pada kelompok kontrol 10.67 dan pada kelompok intervensi 10.25. Hasil uji Dependent T-Test kelompok intervensi didapatkan p=0.069 (p>0.05) yang berarti tidak ada perbedaan yang bermakna pada kelompok intervensi, sedangkan kelompok kontrol didapatkan p=0.037 (p<0.05) yang berarti ada perbedaan yang bermakna pada kelompok kontrol. Hasil uji Independent T-Test didapatkan p=0.796 (p>0.05) yang berarti tidak ada perbedaan yang bermakna pada kelompok intervensi dan kontrol.

Kesimpulan: Penggunaan aplikasi visiting patient tidak mempengaruhi tingkat stres pasien rawat inap di RS Margono Soekarjo, tetapi hanya menambah pengetahuan pasien yang setidaknya mampu merubah sikap dan pola pikir.
Multilevel Classification Algorithm using Diagnosis and Prognosis of Breast Cancer
Authors:   Research Scholar, Dept. of Comp. Science and Engineering, Alagappa University, Karaikudi, Mr K.Jamberi , Mr E.Ramaraj ,   Professor & HOD, Dept. of Comp. Science and Engineering, Alagappa university, Karaikudi
Published: May 2023

In order to analyse the chosen data from various points of view, data mining is used as the effective process. This process is also used to sum up all those views into useful information. There are several types of algorithms in data mining such as Classification algorithms, Regression, Segmentation algorithms, association algorithms, sequence analysis algorithms, etc.,. The classification algorithm can be used to bifurcate the affected image from the given affected image and foretell one or more discrete variables, based on the other attributes in the dataset. The ID3 (Iterative Dichotomiser 3) algorithm is an original affected image S as the root node. An unutilised attribute of the affected image S calculates the entropy H(S) (or Information gain IG (A)) of the attribute. Upon its selection, the attribute should have the smallest entropy (or largest information gain) value. A genetic algorithm (GA) is a heuristic quest that imitates the process of natural selection. Genetic algorithm can easily select cancer affected image using GA operators, such as mutation, selection, and crossover. A method existed earlier (KNN+GA) was not successful for breast cancer and primary tumor. Our method of creating new algorithm GA and decision tree algorithm easily identifies breast cancer affected image. The genetic based classification algorithm diagnosis and prognosis of breast cancer affected is identified by this paper.
Anticipation, Discovery and Serendipity in Quaternary Paleoecology: Personal Experiences From the Iberian Pyrenees
Authors: Rull Valenti
Published: May 2023

This essay is a personal insight based on my own experience in the Iberian Pyrenees, which addresses three situations common in paleoecological research, such as the verification of previously devised hypotheses (anticipation), the finding on unknown events in unstudied sites (discovery) and the finding of unexpected outputs in already known areas (serendipity). The account is concentrated on the value of the coring sites by themselves as generators of paleoecological knowledge, rather than on the actual findings, which are presented and discussed in the corresponding data papers. The main aim is to show that there is still much room for new findings, even in areas that have been surveyed for long time and are supposed to be well known, from a paleoecological perspective. Finally, some general lessons are derived and conceptualized.
Local Stability of Equilibrium Point of the Tuberculosis Transmission Model
Authors: Harianto Joko , Tuturop Katarina Lodia
Published: May 2023

A crucial part of illness prevention over the past few decades has been played by mathematical models. The dynamic system can be used to characterize the TB infection process. For the purpose of developing future prevention strategies, it is crucial to comprehend the effect of vaccination approach on the control of TB. We investigated the impact of vaccination strategies on TB disease transmission through a dynamic model. The model discussed involves logistical population growth. The purpose of this discussion is to analyze the local stability of the equilibrium point of the TB disease transmission model. Numerical simulations are provided to illustrate the theoretical results. The existence and local stability of the model equilibrium point depends on the basic reproduction number analytically. Based on secondary data, the basic reproduction number values are 0.98 and 4.12, respectively. Numerical simulations for these two values support the analysis results obtained. If the basic reproduction number is less than one, then the transmission of TB disease can be eradicated. However, if the basic reproduction number is more than one, the vaccination strategy is not sufficient to control TB transmission.
DUALISME PARTAI DEMOKRAT DALAM HUKUM POSITIF DAN FIQIH SIYASAH
Authors: Setiawan Ahmad Yogi , Murjani Murjani , Sagama Suwardi
Published: May 2023

Konflik internal partai politik sering terjadi di Indonesia dan belakangan ini terjadi timbulnya dualisme partai politik, yaitu pada kasus dualisme partai Demokrat antara kubu Moeldoko dan Kubu AHY. Penelitian ini bertujuan untuk mengetahui kronologi serta faktor penyebab dualisme partai Demokrat, bagaimana logika hukum dari tinjauan Dualisme Partai Demokrat di dalam Hukum Positif dan Fiqih Siyasah serta mekanisme penyelesainnya. Penelitian ini menggunakan metode penelitian deskriptif kualitatif yang berjenis normatif yuridis serta menggunakan satu pendekatan utama, yaitu pendekatan perundang-undangan. Analisis data yang digunakan dalam penelitian ini adalah metode issue, rule, analysis/application, conclusion (IRAC). Kronologi kasus ini adalah ketika kepengurusan baru kubu Moeldoko mengklaim kekuasaan partai dari kubu AHY melalui KLB Deli Serdang, akibat tidak demokratisnya KLB Partai pada tahun 2020. Hasil penelitian menyimpulkan bahwa kasus partai Demokrat ini ialah dualisme partai politik dan prosedur tahapan penyelesaiannya dimulai dari Mahkamah Partai, kemudian Pengadilan Negeri sesuai dengan Undang-Undang Partai Politik dan AD/ART Partai Demokrat Tahun 2020. Tetapi dalam kronologi dualisme Partai Demokrat penyelesaian kasus ini tidak sesuai dengan prosedur karena tidak melalui Mahkamah Partai Demokrat. Penyelesaian sengketa ini dalam Fiqih Siyasah adalah mengacu pada prinsip musyawarah dan kaidah putusan hakim menyelesaikan perselisihan melalui putusan Hakim atau Qadhi.
Pengaruh Pembelajaran Tatap Muka Terbatas Terhadap Kemandirian Anak
Authors: Putri Stefani Corisa , Samawi Ahmad , Anisa Nur
Published: May 2023

This research aims to describe and calculate the major effect of limited face-to-face learning in Kindergarten Kemala Bhayangkari 100 Malang. The research uses a quantitative approach with the type of correlational research with Spearman correlational analysis techniques through SPSS. The subjects studied were all children from Groups A and B with a side random sampling of 32 children, each class containing 8 children. Data collection using questionnaires, documentation, and interviews with teachers and parents. The results of the study show that the correlation coefficient is 0.571. This means that the effect of limited face-to-face learning on children's independence is strong. The hypothesis test shows that the t count is 3.78 greater than the ttable 2.750. From the results of the t-test showed that Ha was accepted while H0 was rejected. This means that there is a limited effect of face-to-face learning on children's independence in Kindergarten Kemala Bhayangkari 100 Malang which has a positive value. A higher level of face-to-face learning has a good influence on the high level of independence in children, as evidenced by the early admission of children there were 30 children in class B who could not wear their shoes, along with face-to-face learning at school with the efforts of teachers who provide various activities to train children's independence so that children are ready to continue to the higher education level.
Effect of Tuina combined with Chinese herbal compress on primary dysmenorrhea with cold coagulation and blood stasis syndrome, study protocol for a randomized controlled trial
Authors: Asawadethmetakul Paphawarin , Xie Fangfang , Xie Chaoqun , Ma Jianwen , You Yanli , Yao Fei
Published: May 2023

Background Primary dysmenorrhea (PD) is a very common problem in young women, which reduces the quality of women’s lives. Both western medicine and TCM provide several ways to treat PD; however, TCM treatment has fewer side effects for the patient. Tuina and Chinese herbal compresses are considered forms of external TCM therapy, which has been widely used to treat PD, especially in China. Therefore, to provide the most effective and safe treatment for PD, we combined Tuina and Chinese herbal compresses together in this research and observation.Method/design: A randomized controlled trial (RCT) consisting of 114 participants from the Shanghai University of Traditional Chinese Medicine who meet inclusion criteria will be divided into 2 groups in a 1:1 allocation ratio. The intervention group will receive Tuina combined with Chinese herbal compress therapy; the control group will only receive Chinese herbal compress therapy. The treatment will be given three days before menstruation (once a day, three times per menstrual cycle). The primary outcome was measured by the visual analog scale (VAS). The secondary outcomes were measured by the dysmenorrhea symptom score, the Chinese medical dysmenorrhea symptom score, the self-rating anxiety scale (SAS), the self-rating depression scale (SDS), and the pain threshold at Guanyuan acupoint (CV4).Discussion The study will be the first randomized controlled trial observing the combination of Tuina and Chinese herbal compresses to treat PD in the category of cold coagulation and blood stasis syndrome. If the results demonstrate that Tuina combined with a Chinese herbal compress is effective, this study may provide evidence-based references for a potential alternative treatment to treat PD in the future.Trial registration: ChiCTR Registry, ChiCTR2300069527, Registered on 20 March 2023.
Genetic diversity structure of Salix Caprea L. populations from fragmented riparian habitats
Authors: Tokdemir Yasin , Değirmenci Funda Ö. , Uluğ Asiye , Acar Pelin , Kaya Zeki
Published: May 2023

Goat willow (Salix caprea L.) is an ecologically important, cold-tolerant pioneer species that spread from central Anatolia to the Black Sea regions in Türkiye. Completed and ongoing construction of hydroelectric plants, especially in northeastern Turkey, threaten the genetic resources of goat willow in the region due to habitat loss and fragmentation. Therefore, it is important to asses genetic diversity structure and magnitude of goat willow populations in the northeastern Black Sea Region for effective conservation of genetic resources of the species. To characterize the genetic diversity of Salix caprea, 180 trees were sampled and screened by using ten microsatellite markers for genotyping, consequently analysis were carried out to estimate population genetic diversity parameters of populations. The results revealed that both observed (Ho = 0.50) and expected (He = 0.54) genetic diversities were low, but observed genetic diversity was less than expected due fragmentation and reduction in population sizes. Genetic structure analysis of populations suggested the presence of two major groups. One included the populations of Trabzon provinces and the other had the populations of the Artvin provinces. This structuring appeared to be caused by the restricted gene flow (polen, seed or vegetative material) through wind and water) due to geographical barrier (the east Black Sea mountain ranges) acting as geographic isolation mechanism between the populations of Trabzon and Artvin provinces. To prevent further deteroiation of genetic diversity due to habitat loss and fragmentation in the studied river systems in the region, it is suggested that effective gene conservation and management programs should be developed for the species by using the genetic information from the current study.
Differences in behavior, facial expressions and locomotion between positive anticipation and frustration in horses
Authors: Phelipon Romane , Ascione Anaïs , Ruet Alice , Bertin Aline , Biau Sophie , Arnoult Cécile , Boichot Laetitia , Lansade Léa
Published: May 2023

Animal welfare is a result of accumulated negative and positive emotions. Therefore, it is important to limit the former and promote the latter. Doing so requires a precise identification of these emotions. The aim of this study was to characterize the behaviors, facial expressions and locomotor parameters of 21 horses in two conditions with opposite valence, presumed to induce positive anticipation and frustration. In the positive anticipation situation, the horse was led to a bucket of food, knowing that they would be allowed to eat it. In the frustration situation, experimenters indicated to the horse that food was available without allowing them to eat it. In the positive anticipation situation, horses exhibited a lower neck position with the ears forward and upper lip advanced and went faster by increasing their stride frequency accompanied by increased global locomotor activity. In the frustration situation, horses exhibited a higher neck position with the ears backward or to the side, accompanied by ear movements and eye blinks, and interacted more with the experimenters. This study describes new indicators of positive anticipations and frustration in horses.
Thromboembolism during immune checkpoint inhibitor therapy -frequency and risk factors-
Authors: IDE Takayuki , ARAKI Taisuke , KOIZUMI Tomonobu
Published: May 2023

Background Thromboembolism (TE) is a well-known complication during chemotherapy in cancer patients. However, the risk of TE associated with immune checkpoint inhibitors (ICIs) is unknown. This study was performed to investigate the incidence of TE and associated risk factors in patients treated with ICIs.Methods We conducted a retrospective chart survey of patients receiving at least one ICI at Shinshu University Hospital between September 2014 and October 2021. Age, sex, cancer type, body mass index, medical history, laboratory data at commencement of treatment, and medication data were obtained from electronic medical records. TE events (venous thromboembolism [VTE], arterial thromboembolism [ATE]) were identified after ICI initiation.Results The study population consisted of 550 patients with a median age of 70.0 (19–89) years, 71.3% men, and a median follow-up of 15.1 months (range; 0.16–72.0 months). Nivolumab was the most commonly used ICI (45.8%), followed by pembrolizumab (24.0%), pembrolizumab plus anticancer drugs (7.8%), and nivolumab plus ipilimumab (5.1%). Forty cases of TE (7.3%) occurred (22 VTE, 16 ATE). Risk factors significantly associated with TE in multivariate logistic analysis were urothelial cancers (OR 2.86; 95%CI, 1.13–7.21; p = 0.026), dyslipidemia (OR 2.33; 95%CI, 1.13–4.81; p = 0.023), Khorana score ≥ 2 (HR 2.22; 95%CI, 1.07–4.61; p = 0.032). Overall survival was not significantly different from patients without TE (p = 0.886).Conclusion These results suggested that the frequency of TE is higher than expected and should be considered and monitored in patients treated with ICIs.
Investigating the effect of a low carbohydrate, high saturated fat diet on concentration levels of markers associated with a leaky gut and the association with glucose homeostasis
Authors: Dimba Nosipho , Mzimela Nhlakanipho , Khathi Andile
Published: May 2023

Background A high-fat high carbohydrate (HFHC) contributes to the development of prediabetes. This condition precedes the onset of type 2 diabetes (T2D). Hence it has become a therapeutic target to prevent metabolic disorders. Several approaches such as lifestyle modifications that include moderate exercise and dietary intervention have been reported to effectively reverse prediabetes. This study investigated the effect of a low carbohydrate, high saturated fat (LCHSF) diet on glucose homeostasis and concentration levels of markers associated with a leaky gut in male Sprague Dawley rats.Methods The animals (n = 12) ingested a HFHC diet for a period of 20 weeks. After 20 weeks, the prediabetic animals were subdivided into two groups to further investigate the effects of diets for additional 12 weeks. Group 1 was the prediabetic control group (PD) that remained on a HFHC diet and group 2 was the prediabetic group that switched to a LCHSF diet (PD + DI). At the end of 32 weeks, the fecal samples were analyzed to measure the gut microbiota composition of Firmicutes, Bacteroidetes, and Proteobacteria in both animal groups. Furthermore, blood glucose, glycated haemoglobin, serum zonulin, plasma LPS, soluble CD14, tumor necrosis factor-alpha, interleukin-6, C- reactive protein, and intestinal fatty-acid binding protein concentrations were measured.Results In the PD + DI group, there was a significant increase in the Firmicutes levels and a decrease in Bacteroidetes and Proteobacteria compared to PD. Blood glucose and HbA1c concentration were significantly decreased in the PD + DI group in comparison to PD. Zonulin and sCD14 concentrations in the PD + DI group decreased compared to the PD group, while LPS concentrations were similar. A decrease in TNF-α, IL-6, CRP, and IFABP concentrations in the PD + DI group was observed compared to PD.Conclusion Taken together, these results suggest that a LCHSF diet effectively improved glucose homeostasis, gut microbiota composition and beneficially reduced the risk of insulin resistance observed in a prediabetic state.
Characterization of additively manufactured parts for direct screwing
Authors: Moritzer Elmar , Held Christian
Published: May 2023

The combination of additive manufacturing and direct screwing can improve the disadvantages of the additive manufacturing such as long manufacturing times and high costs for expanding building spaces. Direct screwing allows smaller components to be assembled into larger components and added to assemblies as components with high functional integration. Therefor avoidance of large building spaces and a useful integration of additive components into serial production are possible. While guidelines for direct screwing of injection molded thermoplastic components are provided by the Deutscher Verein für Schweißen und verwandte Verfahren e.V., no recommendations for additively manufactured components exist. Preliminary investigation at the Kunststofftechnik Paderborn have shown that recommendations for injection molded components cannot be fully transmitted to additively manufactured components by analogy. Because of the layered manufacturing process additively manufactured components are highly anisotropic, why the strength of the components strongly depends on the build orientation. On this behalf, the suitability of additive manufactured components for direct screwing is investigated in a current research project at the Kunststofftechnik Paderborn. Topic of this presentation is the characterization of additively manufactured screw bosses in regard to the existing guidelines. For the characterization, screw domes are additively manufactured according to the geometry recommendations of the guidelines with the Fused-Deposition Modelling and the Selective Laser Sintering. To account for the anisotropy, the screw domes are built in three different orientations. The suitability of additively manufactured screw domes is evaluated through a comparison to injection molded screw bosses. For the comparison the joining parameters, the pull-out strength and the component strength are investigated. The results show that there are significant differences in the investigated criteria based on the manufacturing technique and the build orientation.
Self-supervised dynamic learning for long-term high-fidelity image transmission through unstabilized diffusive media
Authors: Li Ziwei , zhou wei , Zhang Shuqi , Shi Jianyang , Shen Chao , Zhang Junwen , Chi Nan , Dai Qionghai
Published: May 2023

Multimode fiber (MMF) which supports parallel transmission of spatially distributed information is a promising platform for remote imaging and capacity-enhanced optical communication. However, the variability of the scattering MMF channel poses a challenge for achieving long-term accurate transmission over long distances, of which static optical propagation modeling with calibrated transmission matrix or data-driven learning will inevitably degenerate. In this paper, we present a self-supervised dynamic learning approach that achieves long-term, high-fidelity transmission of arbitrary optical fields through unstabilized MMFs. Multiple networks carrying both long- and short-term memory of the propagation model variations are adaptively updated and ensembled to achieve robust image recovery. We demonstrate >99.9% accuracy in the transmission of 1024 spatial degree-of-freedom over 1km-length MMFs lasting over 1000 seconds. The long-term high-fidelity capability enables compressive encoded transfer of high-resolution video with orders of throughput enhancement, offering insights for artificial intelligence promoted diffusive spatial transmission in practical applications.
Related factors leading to sex ratio differences at birth in assisted reproductive technology pregnancies: A retrospective cohort study
Authors: Gong Bingchen , Huang Xueyao , Luo Zhenyu , Wang Wenrong , Ding Lingling
Published: May 2023

Background This study aimed to determine the effect of in vitro fertilization (IVF), intracytoplasmic sperm injection (ICSI), and individual factors on the sex ratio of offspring at birth in China.Methods This retrospective cohort study analyzed 6,700 infants (singletons and twins) who were born between December 2016 and December 2019 after fresh embryo transfer. The primary outcome measured was the secondary sex ratio (SSR) among live births.Results A total of 4,892 infants were born after cleavage-stage embryo transfer, and 1,808 infants were born after blastocyst-stage embryo transfer. The SSR for IVF was significantly higher than that for ICSI (SSR = 113 :100 vs. 92:100, P < 0.05). Male infertility significantly decreased the proportion of male offspring compared with non-male infertility. Multivariate logistic regression after adjusting for confounders revealed that neither the fertilization procedure nor the infertility cause had a significant effect on the SSR. The SSR of blastocyst-stage embryo transfer was higher than that of cleavage-stage embryo transfer, but the difference was not significant.Conclusions The live birth sex ratio in babies conceived using assisted reproductive technology was influenced by ICSI and male infertility, which may decrease the percentage of male offspring. Therefore, clinics should be aware of the gender bias when carrying out IVF / ICSI assisted pregnancies.
Flourishing Fields: Revolutionizing Agriculture with Soft Computing-based Plant Disease Detection
Authors: G Sriram , M Vignesh , D Saran , S Ayyasamy
Published: May 2023

Plant diseases can cause significant damage to crops, leading to significant economic losses for farmers. Early detection and management of plant diseases are crucial to prevent their spread and minimize their impact. In recent years, soft computing techniques have emerged as a promising approach for developing accurate and efficient plant disease detection systems. This paper presents a soft computing-based plant disease detection system, named Flourishing Fields, which utilizes machine learning algorithms to analyze images of plants and diagnose the presence of diseases. The proposed system integrates a convolutional neural network (CNN) and a support vector machine (SVM) to classify plant images into healthy or diseased categories. The CNN extracts feature from the images, which are then used as inputs for the SVM classifier. The proposed system was evaluated using a publicly available dataset of plant images, and the results show that it achieves an accuracy of 94.5%, outperforming several existing state-of-the-art methods. The proposed system is expected to revolutionize agriculture by providing farmers with an efficient and reliable tool for detecting and managing plant diseases, thereby improving crop yield and reducing economic losses.
Transforming 21 St Century Students’ Styles of Learning: An Introduction to Critical Pedagogy Into ELT Classrooms
Authors: K Lakshmi. , C Kalaiselvi. , Richard Titus , Rajendran Jayanthi
Published: May 2023

It is commonly regarded to be beneficial to both learners and educators, if recognizing students' preferred learning styles. Apparently changing every student's learning style in the classroom is unthinkable, since they learn in various ways. All things being equal, educators could modify their training strategies to more readily match the learning styles of their understudies. The major tenets of this review are to depict and categorize the concept of learning patterns; second, to search out the significance of understanding and analyzing students' styles of learning; and third, to argue that students are making higher levels of progress if their pedagogues' strategies or the method in which they receive guidance match their styles of learning. Moreover, it is proposed that instructors use a fair method of teaching styles to deal with a variety of learning types. The review utilizes a hypothetical way to deal with review of related literature and gives different points of view on the best way to coordinate as well as mismatching learning styles with instructing styles.
Photo switchable 4D printing remotely controlled responsive and mechanically robust shape memory polymer nanocomposites
Authors: Zhang Biao , Feng Shiwei , Peng Xuelin , Cui Jingjing , Feng Ruiqi , Sun Yongding , Guo Yunlong , Lu Zhe , Gao Weizi , Liu Fukang , Liang Chen , Hu Guang
Published: May 2023

Photo-triggered shape morphing structures can be found in myriads of areas. Utilizing light as a switch can effectively control and regulate the precise deformation of structures. However, the integration of photo switching functions in shape morphing structures with complex geometries remains a challenge. Here, we report photo switchable digital light processing based 4D printing high-resolution and highly complex geometries, based on UV curable WO2.9 nanoparticle doped shape memory polymer nanocomposites, which are highly deformable (stretchability up to ~1000% at rubbery state) and fatigue resistant (repeatedly loaded > 1200 times at ambient temperature). The presence of just trace WO2.9 nanoparticles (< 0.20 wt.‰) contributes to the controlled photothermal property of nanocomposite via selective absorption of light, which enables reversibly photo switchable (＞50 times), spatial and remote control of 4D printing shape morphing structures. These findings offer a promising approach to expanding the applications of photo-triggered shape morphing structures.
Milliampere-level hydrovoltaic power generation through the asymmetric electric double layer of water-graphite interface
Authors: Huang Huihui , He Dunren , Nie Wanyi
Published: May 2023

Hydrovoltaic technology is a promising approach for clean and renewable energy generation, owing to its unique ability to generate electricity from the interactions between nanomaterials and abundant water. However, the output current of hydroelectric generators needs improvement, which is usually below 1 mA. Here, we demonstrate a large-scale integration of water-graphite hydroelectric generators that can produce an output current of up to 58 mA, surpassing the performance of existing hydroelectric generators, and capable of powering commercial electronics, such as electric fans and full-color liquid crystal display screens. The high current is achieved by utilizing the asymmetric electric double layer formed at the water-graphite interface when immersed in water. Our results show that this low-cost and scalable hydroelectric generator has the potential to significantly expand the application domain and facilitate the development of clean and renewable energy sources.
Analyzing the Electrical Characteristics of P-gate Enhanced HEMT with C-doped Buffer Layer through Silvaco
Authors: Wang Xiao , Lin Zhi-Yu , Zhang Yu-Min , Wang Jian-Feng , Xu Ke
Published: May 2023

The C-doped P-gate-enhanced HEMT (PEHEMT) is simulated by using the Silvaco T-CAD tool. The interaction among the C acceptor trap, electron and hole in the buffer layer at different voltages promotes interesting electrical characteristic within the device. In off-state conditions, the peak electric field position shifts from the edge of gate to the edge of drain. During the process of peak electric field transfer, the gate electric field gradually saturates, and the increase rate of peak electric field shows a turning point at 350V (Vd < 600 V). As the voltage further increases (Vd > 600 V), the increase rate of the drain electric field gradually slows down and tends to saturation, and the corresponding saturated gate electric field begins to increase. The uniform, quasi- linear, and step distributions of three different C acceptor in the buffer layer exhibit different degrees of current collapse under 1 ms bias stress, with values of 21.8%, 12.7%, and 12.8%, respectively. In this work, we have provided appropriate explanations for the above phenomena.
Bounds in normed spaces using convex functions
Authors: Sababheh Mohammad , Furuichi Shigeru , Minculete Nicusor , Moradi Hamid
Published: May 2023

In this paper, we present several new bounds in normed spaces, with applications toward subadditivity behavior and angular distances, in these spaces, with an additional application towards Hilbert space operators.
The main tool we use to establish our results is the treatment of convex functions and their properties.
Clinical Efficacy of Venetoclax and Azacitidine Treatment for an AML-M5 Patient with Poor Prognosis MDS-EB2 Transformation: A Case Report
Authors: Li Jianjun , Chen Yingying , Ruan Min , Qian Wei , Wang Yi , Jin Fengbo , Xia Leiming
Published: May 2023

Combination therapy using combination of venetoclax and azacytidine (VEN+AZA) has shown potential in treating acute myeloid leukemia (AML). However, its effectiveness may vary depending on the patient's disease background and genetic mutations. In this case study, we present a patient with M5 type AML who was not a suitable candidate for VEN+AZA treatment. The patient did not respond to the treatment, and the disease rapidly progressed, ultimately leading to the patient's death. In vitrodrug sensitivity assays revealed that the patient's primary leukemia cells were not sensitive to anthracyclines, venetoclax, and azacitidine. Therefore, we recommend conducting in vitro drug sensitivity testing and detecting the patient's genetic mutation spectrum before starting induction therapy. This can help predict the effectiveness of the VEN+AZA regimen in AML patients. Additionally, it is crucial to monitor minimal residual disease (MRD) to evaluate disease remission and treatment response in AML patients.
Global trends of and perspectives on intercropping research: A bibliometric review
Authors: Tang Yurui , Qiu Yurong , Li Xiao-Fei , Li Yabing , Xu Huasen
Published: May 2023

Background and Aims Intercropping is an agroecological strategy to optimize resource-use efficiency and crop yield. In recent decades, therefore, intercropping has gained strongly increasing attention as a more sustainable land management alternative to monoculture-oriented intensive agriculture. However, few studies have attempted to perform a comprehensive and systematic review of this subject from a bibliometric perspective.Methods This study carried out a quantitative bibliometric analysis to critically review research on intercropping globally from 1995 to 2021. A total of 7574 publications from the Web of Science Core Collection were analyzed to explore the characteristics of publications, research hotspots, and future frontiers.Results The results showed that the number of publications related to intercropping increased since 2007, with Chinese scholars and research institutes contributing the most. The journal with the most publications was Agroforestry Systems, and Plant and Soil ranked fifth. Research on intercropping has evolved, with the focus shifting from yield and plant interspecific interactions and then to sustainable agriculture. Moreover, keyword burst analysis showed that research frontiers were mainly concentrated on sustainable intensification, microbial community, and climate change adaptation.Conclusions This study provides a better understanding of the progress in research on intercropping that has occurred over the past 27 years, offering ideas and references for future research.
Phytomanagement improves soil aggregation and ecological security near tailings
Authors: Ju Wenliang , Liu Ji , Fan Qiaohui , Fang Linchuan
Published: May 2023

Aims Revegetation is an effective measure to improve soil structure and nutrients in erosion-prone areas. However, little is known about the impact of diverse phytomanagement of revegetation on soil quality and ecological security near tailings.Methods We investigated the water-stability and soil aggregate nutrients and assessed the associated risk of heavy metal contamination under multiple phytomanagement (natural grassland, artificial forest, and artificial forest mixed with shrubs and herbs) near abandoned tailings on the Loess Plateau, comparing with the adjacent bare land.Results The results showed that phytomanagement significantly enhanced soil aggregate stability, as demonstrated by the rise in soil macro-aggregate proportion (> 0.25 mm, 10.5–22.4%) and geometric mean diameter (16.3–44.0%). Furthermore, the soil organic carbon content (SOC), glomalin-related soil protein (GRSP), aromatic-C, and alkene-C in macro-aggregates increased alongside aggregate stability enhancement. The increased stability of soil aggregates following phytomanagement could reduce the risk of heavy metal leaching, but the increased concentration of heavy metals in the aggregates. In addition, the management of artificial forests mixed with shrubs and herbs greatly reduced the ecological risk of heavy metal pollution compared to other phytomanagement. SOC and GRSP were identified as key factors influencing the risk of heavy metal contamination in soil aggregates following phytomanagement.Conclusion Our study highlights that revegetation of tailings improves soil quality and ecological security by increasing the stability of soil structure as well as SOC and GRSP within the aggregates. Artificial forests mixed with shrubs and herbs could be an optimal phytomanagement to achieve environmental sustainability in tailings areas.
Investigation of Some Fish Species of Scombridae Family in Terms of Parasites
Authors: ALDIK Ruhay , CAKIR Fikret , YAYINTAS Ozlem , OKTENER Ahmet , KIZILYILDIRIM Suna , EROGLU Huseyin Avni , Sen Yusuf
Published: May 2023

In the study, cystic formations obtained from the gills, body cavity and internal organs of some fish species belonging to the Scombridae family were investigated. Fish materials were obtained from Çanakkale Fish Market. The fish were sampled for six months according to the frequency of their presence in the stalls. In the study, chub mackerel (Scomber japonicus Houttuyn, 1782) and mackerel (Scomber scombrus Linnaeus, 1758) were determined as the main fish samples. The bluefin tuna (Thunnus thynnus Linnaeus, 1758) caught with certain rules between May and July, and samples were also obtained and included in the study based on samples. Samples isolated from gills, body cavities and internal organs were kept in tubes containing absolute ethanol with infected tissue and examined under a stereo and then a light microscope and species identifications were performed using classical methods. Molecular methods were used for identification of nematodes where no clear species could be determined. Fifty cystic and free nematode, 50 didymozoon cysts and 80 (53 female, 27 male) parasitic copepods were isolated from total the samples. Parasitic copepods isolated from bluefin tuna fishes were identified as Euryphorus brachypterus(Gerstaecker, 1853), and those isolated from mackerel as Clavellisa scombri(Kurz, 1877).
A consortia of clinical E. coli strains with distinct in-vitro adherent/invasive properties establish their own co-colonization niche and shape the intestinal microbiota in inflammation-susceptible mice
Authors: Bleich Rachel M. , Li Chuang , Sun Shan , Barlogio Cassandra J. , Broberg Christopher A. , Franks Adrienne R. , Bulik-Sullivan Emily , Dogan Belgin , Simpson Kenneth W. , Carroll Ian M. , Fodor Anthony A. , Arthur Janelle C.
Published: May 2023

Background Inflammatory bowel disease (IBD) patients experience recurrent episodes of intestinal inflammation and often follow an unpredictable disease course. Mucosal colonization with adherent-invasive Escherichia coli (AIEC) are believed to perpetuate intestinal inflammation. However, it remains unclear if the 24-year-old AIEC in-vitro definition fully predicts mucosal colonization in-vivo. To fill this gap, we have developed a novel molecular barcoding approach to distinguish strain variants in the gut and have integrated this approach to explore mucosal colonization of distinct patient-derived E. coli isolates in gnotobiotic mouse models of colitis.Results Germ-free inflammation-susceptible interleukin-10-deficient (Il10−/−) and inflammation-resistant WT mice were colonized with a consortia of AIEC and non-AIEC strains, then given a murine fecal transplant to provide niche competition. E. coli strains isolated from human intestinal tissue were each marked with a unique molecular barcode that permits identification and quantification by barcode-targeted sequencing. 16S rRNA sequencing was used to evaluate the microbiome response to E. coli colonization. Our data reveal that specific AIEC and non-AIEC strains reproducibly colonize the intestinal mucosa of WT and Il10−/− mice. These E. coli expand in Il10−/− mice during inflammation and induce compositional dysbiosis to the microbiome in an inflammation-dependent manner. In turn, specific microbes co-evolve in inflamed mice, potentially diversifying E. coli colonization patterns. We observed no selectivity in E. coli colonization patterns in the fecal contents, indicating minimal selective pressure in this niche from host-microbe and interbacterial interactions. Because select AIEC and non-AIEC strains colonize the mucosa, this suggests the in vitro AIEC definition may not fully predict in vivo colonization potential. Further comparison of seven E. coli genomes pinpointed unique genomic features contained only in highly colonizing strains (two AIEC and two non-AIEC). Those colonization-associated features may convey metabolic advantages (e.g., iron acquisition and carbohydrate consumption) to promote efficient mucosal colonization.Conclusions Our findings establish the in-vivo mucosal colonizer, not necessarily AIEC, as a principal dysbiosis driver through crosstalk with host and associated microbes. Furthermore, we highlight the utility of high-throughput screens to decode the in-vivo colonization dynamics of patient-derived bacteria in murine models.
A New Frontier in Mineral Exploration: Hybrid Machine Learning and Bat Metaheuristic Algorithm for Cu-Au Mineral Prospecting in Sonajil area, E-Azerbaijan
Authors: Mohammadzadeh Mohammadjafar , Mahboubiaghdam Majid , Nasseri Aynur , Jahangiri Moharram
Published: May 2023

Modeling mineral prospectivity is a challenging strategy in characterization of blind ore zones and mineral prospecting. Therefore, the application of advanced spatial modeling techniques and machine learning algorithms is important in exploration pattern recognition. In this study, a combination of a support vector machine (SVM) and the bat algorithm (BA) has been employed to improve the classification and produce an optimal prospectivity map of porphyry copper-gold deposit in the Sonajil area, NW of Iran. In the proposed model, BA was used to optimize the SVM parameters. In data preparation, evidence layers of 10 exploratory features (geological, geochemical, remote sensing and boreholes) were prepared. Then based on 100-meter buffering around boreholes, the data (training and testing) was selected. For mapping mineral prospectivity in the area, the results of two predictive single SVM and hybrid SVM-BA models were compared. Both models were trained by way of predictor maps and then the models performance were evaluated by confusion matrix and receiver operating characteristic (ROC) curve. The results showed that both predictive models had an obvious optimization effect on recognizing the Cu-Au mineralization pattern but the hybrid model had higher accuracy in anomalous zone enhancement, with ROC values more than 0.8, indicating this optimization was successful and the selected optimal model is the best predictor for mineral prospectivity in the area. The delineated targets are also in accordance with the characteristics of the area metallogenic system showing that the established hybrid model is an effective tool in mineral prospectivity mapping.
Affordance and the aesthetic experience of raingardens
Authors: Dobbie Meredith Frances , Farrelly Megan Anne
Published: May 2023

Context.Raingardens are being retrofitted in cities worldwide to contribute to urban sustainability and resilience. They must function both technically and aesthetically. Although technical design guidelines for raingardens are available, aesthetic design guidelines are limited.Objectives.Understanding how raingardens are aesthetically experienced can inform their design and management to optimise their acceptance when retrofitted into streetscapes. Four types of aesthetic experience of landscapes are described in the literature. Understanding which type applies in raingarden perception can contribute to aesthetic design guidelines.Methods.As part of a broader study into perception of raingardens in Melbourne, Australia, using mixed methods, survey and focus group data were analysed quantitatively and qualitatively to reveal perceptual aesthetic experiences, either directly or by inference.Results.Scenic and ecological aesthetics, aesthetics of care and knowledge, and attachment and identity were identified. A fifth aesthetic, initially considered as affordance, emerged from analysis. As affordance underpins all landscape aesthetic experiences, this fifth aesthetic experience, relating to a person’s ability to function in or use the landscape, is named an aesthetic of function. Design guidelines are proposed to accommodate different aesthetic experiences of streetscapes retrofitted with raingardens to optimise their appreciation and acceptance.Conclusions.Landscape assessment as aesthetic preference has dominated landscape perception literature. This study suggests that perceived affordances drive aesthetic experiences in the perceptible realm. We call on landscape designers and managers to consider design of retrofitted raingardens that does not mimic natural forms but draws attention to nature-based processes within the raingardens and fosters environmental ethics.
Exploration of Serum Metabolic Signature of Erythrodermic Psoriasis Based on High-throughput Ultra-performance Liquid Chromatography Mass Spectrometry
Authors: Guo Lan , Wu Chao , Jin Hong-Zhong
Published: May 2023

BackgroundErythrodermic psoriasis (EP) is a rare and life-threatening disease, the pathogenesis of which remains to be largely unknown. The dysregulated metabolites could be tightly associated with the disease pathogenesis.ObjectivesTo explore the distinctive serum metabolic signature of EP.MethodsSerum samples of 20 EP patients and 20 matched healthy controls were collected. Non-targeted metabolomics based on a high-throughput ultra-performance liquid chromatography mass spectrometry (UHPLC-MS) was conducted. Principal components analysis (PCA), partial least squares discriminant analysis (PLS-DA) and pathway analysis were performed.Results65 metabolites of known identity were significantly changed in EP patients compared to controls, including 24 up-regulated metabolites and 41 down-regulated metabolites. EP patients had lower levels of glycerophosphocholines, including lysophosphatidylcholine (LPC), phosphatidylcholine (PC), and lysophosphatidyl ethanolamine (LPE). EP patients had lower levels of bile acids, including 7-ketodeoxycholic, deoxycholic and lithocholic acid. EP patients had lower esculetin and 3-hexenedioic acid levels. The area under the curve (AUC) value of esculetin, 7-ketodeoxycholic acid and 3-hexenedioic acid was higher than 0.90. Dysregulated metabolites were significantly enriched in the glycerophospholipid metabolism pathway.ConclusionsThe serum metabolic signature of EP was discovered. The down-regulated glycerophosphocholines and bile acids might take part in the development of EP. The dysregulated metabolites might be associated with damaged skin barriers and extensive skin inflammation. The metabolite differences help elucidate the development and pathogenesis of EP and they may provide insights for therapeutic interventions.