Miracle-dz/UniFAR-FTUs huggingface dataset:
Implementasi Seleksi Fitur Binary Particle Swarm Optimization pada Algoritma K-NN untuk Klasifikasi Kanker Payudara

Kanker Payudara adalah jenis kanker paling umum yang sering menyerang kalangan wanita di seluruh dunia. Diagnosa awal yang akurat dalam mendeteksi kanker payudara memainkan peran penting dalam pengobatan pasien karena semakin cepat kanker di diagnosa semakin cepat juga pengobatan dapat diberikan. Untuk menghasilkan diagnosa yang akurat terhadap pasien kanker payudara maka dilakukan penelitian dengan tujuan mendapatkan model klasifikasi yang dapat memberikan klasifikasi yang akurat terhadap penyakit kanker payudara. Algoritma klasifikasi yang sering digunakan dan cukup terkenal adalah K-Nearest Neighbor (K-NN). Algoritma K-NN melakukan klasifikasi menggunakan konsep tetangga terdekat berdasarkan pada data terdahulu, akan tetapi algoritma K-NN lemah terhadap data dengan jumlah fitur yang besar. Maka dari itu, untuk kasus dataset dengan banyak fitur dapat dilakukan seleksi fitur terlebih dahulu untuk meningkatkan performa klasifikasi K-NN. Salah satu yang sering digunakan untuk seleksi fitur adalah algoritma Binary Particle Swarm Optimization (BPSO). Pada penelitian ini akan dibuat 2 model klasifikasi K-NN yaitu model klasifikasi K-NN saja tanpa seleksi fitur dan model klasifikasi K-NN dengan seleksi fitur Binary Particle Swarm Optimization, Kemudian dilakukan perbandingan hasil akurasi yang didapat. Dataset yang akan digunakan adalah Breast Cancer Wincosin (Diagnostic) dari UCI Machine Learning Repository yang memiliki 569 data dan 30 fitur. Hasil penelitian menunjukan model K-NN+BPSO menghasilkan akurasi sebesar 95,32% dan model K-NN menghasilkan akurasi sebesar 94,15%. Berdasarkan akurasi yang didapatkan algoritma K-NN dengan seleksi fitur menghasilkan akurasi yang lebih baik daripada algoritma K-NN tanpa seleksi fitur sebesar 1,17%. Algoritma Binary PSO juga berhasil mereduksi fitur dari 30 fitur menjadi 5 fitur dengan tidak mengurangi akurasi dari model klasifikasi. Sehingga dapat disimpulkan bahwa pada kasus klasifikasi kanker payudara dengan dataset Breast Cancer Wincosin (Diagnostic) algoritma K-NN dapat dikombinasikan dengan seleksi fitur Binary PSO untuk membuat model klasifikasi yang memberikan performa cukup baik.
New Shrinkage Entropy Estimator for Mean of Exponential Distribution under Different Loss Functions

In this paper, a new shrinkage estimator of entropy function for mean of an exponential distribution is proposed. A progressive type censored sample is taken to obtain the estimator. For the new estimator, risk functions and relative risk functions are developed under symmetric and asymmetric loss functions, viz. squared error loss function and LINEX loss function, and new estimator is shown to have better performance than a classical estimator in terms of relative risk
Advanced integration of stereotaxis and real-time MRI for precise and safe medical navigation: a future paradigm for minimally invasive interventions

Minimally invasive techniques have transformed medicine by improving patient outcomes and reducing invasiveness. Existing navigation methods, which use fluoroscopy or pre-operative imaging, lack real-time visualization and precision during complex surgeries. Fluoroscopy may also expose patients and medical staff to ionizing radiation. We propose enhanced stereotaxis and real-time magnetic resonance imaging (MRI) integration to overcome these problems and improve minimally invasive intervention precision and safety. Stereotactic guiding and high-resolution real-time MRI imaging are combined in this research to improve medical navigation. The conceptual framework includes modeling the stereotactic system's magnetic field, real-time tracking of magnetic-sensored medical devices, and dynamic MRI imaging for continuous visibility throughout treatments. Stereotactic and MRI data can be fused for simultaneous vision and navigation, and adaptive path planning algorithms allow real-time targeting and avoidance of key structures. A simulated cardiac electrophysiology catheter ablation treatment shows the combined approach's potential benefits. Real-time adaptive navigation reduces radiation exposure and problems while targeting precisely. This research establishes a new medical navigation paradigm that improves precision, patient safety, and radiation exposure. This integrated method could revolutionize minimally invasive procedures across medical disciplines, despite limitations in patient-specific data integration and real-time algorithm development. This new navigation approach needs further research, validation, and clinical trials to confirm its feasibility and efficacy and improve medical patient care
Controlled Invariant Sets of Discrete-Time Linear Systems with Bounded Disturbances

This paper proposes two novel methods for computing the robustly controlled invariant set of linear discrete-time systems with additive bounded disturbances. In the proposed methods, the robustly controlled invariant set of discrete-time systems is obtained by solving the linear matrix inequality given by logarithmic norm and difference inequality. Illustrative examples are presented to demonstrate the obtained methods.
Minéralisation de l'azote, nitrification et prélèvement radiculaire dans différents écosystèmes forestiers sur sol acide : effet de l'essence, du stade de développement du peuplement et de l'usage ancien des sols

Les buts de ce travail etaient de mesurer a l'aide d'une methode d'incubation in situ la mineralisation de l'azote, la nitrification et les prelevements, et de determiner les parametres regissant leurs variations. L’etude a ete menee pendant 4 ans a Aubure (Vosges) et a Vauxrenard (Beaujolais). A Aubure, la mineralisation est plus elevee dans une hetraie de 150 ans (h150, 188 kg/ha/an) que dans 2 pessieres de 90 (e90) et 45 ans (e45) (126 et 67 kg/ha/an). La nitrification atteint 65 a 75% de la mineralisation en h150 et e90, mais est inhibee en e45. A Vauxrenard, dans 3 peuplements de douglas de 20, 40 et 60 ans, la mineralisation est elevee (130-220 kg/ha/an) et independante de l’âge des peuplements. La nitrification atteint 85% de la mineralisation. Dans les deux sites, la mineralisation est controlee essentiellement par la temperature. A Vauxrenard, la mineralisation elevee est due au changement d'essence et la nitrification au passe agricole. La stimulation de la nitrification dans d'anciens sols agricoles actuellement boises en resineux a ete confirmee au laboratoire. L’inhibition de la nitrification en e45 a Aubure peut donc etre due a un passe agricole different de celui de e90 ou a un effet âge. A Aubure, en e45 et h150, l'azote mineral disponible est entierement utilise, limitant les pertes par drainage, l'acidification et l'appauvrissement. En e90, l'azote disponible est excedentaire. Le surplus etant draine, le sol s'appauvrit en cations alcalins et alcalino-terreux. A Vauxrenard, les pertes sont encore plus importantes, malgre des prelevements eleves. Dans les deux sites, l'essentiel des prelevements est utilise par la biomasse radiculaire, sauf en e45. L’incorporation d'elements mineraux dans la biomasse aerienne est limitee. Il est cependant necessaire d'envisager une exploitation limitant les pertes en elements, par exemple en recoltant uniquement le tronc et en privilegiant des revolutions longues permettant au systeme de se reequilibrer.
Alterations in Mitochondrial Morphology and Quality Control in Primary Mouse Lung Microvascular Endothelial Cells and Human Dermal Fibroblasts under Hyperglycemic Conditions

The effect of hyperglycemia on the morphology of individual mitochondria and the state of the mitochondrial network in primary mouse lung microvascular endotheliocytes and human dermal fibroblasts has been investigated. The cells were exposed to high (30 mM) and low (5.5 mM) glucose concentrations for 36 h. In primary endotheliocytes, hyperglycemic stress induced a significant increase in the number of mitochondria and a decrease in the interconnectivity value of the mitochondrial network, which was associated with a decrease in the mean size of the mitochondria. Analysis of the mRNA level of the genes of proteins responsible for mitochondrial biogenesis and mitophagy revealed an increase in the expression level of the Ppargc1a, Pink1, and Parkin genes, indicating stimulated mitochondrial turnover in endotheliocytes under high glucose conditions. In primary fibroblasts, hyperglycemia caused a decrease in the number of mitochondria and an increase in their size. As a result, the mitochondria exhibited higher values for elongation. In parallel, the mRNA level of the Ppargc1a and Mfn2 genes in fibroblasts exposed to hyperglycemia was reduced. These findings indicate that high glucose concentrations induced cell-specific morphological rearrangements of individual mitochondria and the mitochondrial network, which may be relevant during mitochondria-targeted drug testing and therapy for hyperglycemic and diabetic conditions.
Outage Performance Analysis of Improper Gaussian Signaling for Two-User Downlink NOMA Systems with Imperfect Successive Interference Cancellation

The improper Gaussian signaling (IGS) technique can improve the achievable rate of an interference-limited network by fully exploiting the second-order statistics of complex signaling. This paper addresses the outage performance analysis of a two-user downlink non-orthogonal multiple access (NOMA) system using the IGS technique in the presence of imperfect successive interference cancellation (SIC). The strong channel user (SU) adopts the IGS, while the weak channel user (WU) adopts the traditional proper Gaussian signaling (PGS). Considering a practical scenario where the transmitter has obtained the statistics of the channel coefficients instead of the instantaneous channel state information (CSI), the expressions of the achievable rates of both users under residual interference due to imperfect SIC are derived, together with their outage probabilities, subject to predetermined target rates and channel statistics. Given a fixed transmit power of the WU, both the transmit power and the degree of impropriety of the SU are optimized to minimize the outage probability subject to the outage constraint of the WU. Numerical results are provided to assess the benefits of the proposed IGS-based downlink NOMA system, which are consistent with the analysis.
The Mayan ice cap: Glacial geology and paleoclimate of the northern Guatemalan highlands

The Mayan Ice Cap: Glacial Geology and Paleoclimate of the Northern Guatemalan Highlands by Alex Joseph Roy Dr. Matthew Laclmiet, Examination Committee Chair Assistant Professor of Geology University ofNevada, Las Vegas The Sierra de los Cuchumatanes region of the northern Guatemalan highlands supported a large plateau ice cap with an area of -40 km along with a group of 5 cirque glaciers -1 to 2 km during the local last glacial maximum (LLGM). A comprehensive mapping reconstruction of the northern Guatemalan highlands is presented here, including glacial geology and an estimate of maximum ice limits from physical evidence and computer modeling. The glacial geologic map was produced via field mapping with global positioning system (GPS) surveying combined with aerial stereo photographic and topographic map analysis. This new field work on moraine limits expands upon previous reconnaissance-level studies and preliminary reconstruction efforts. Elevation of the northern Guatemalan highlands LLGMaR= 2 oequilihrium line altitude (ELA) was estimated to be 3515 m for the cirque glaciers and an average of 3703 m for the plateau ice cap. Glacial evidence and regional climate data were employed as input to a physically based geographical information system (GIS) mass-balance model, developed by Plummer and Phillips (2003). Using the target ELA ofthe ice cap (3650 m) and cirque
Bio-control ability of Trichoderma isolates on anthracnose disease (Colletotrichum capsici) of chilli (Capsicum annuum L.)

Capsicum annuum (Chilli) is an important spice crop grown in tropical and subtropical areas of India. Chilli suffers from several diseases, out of which anthracnose of chilli is one of the important diseases. Keeping in view the negative impact of fungicides on the environment, an experiment was conducted to evaluate Trichoderma isolates against anthracnose disease of chilli . Trichoderma spp. are being used to control plant diseases in the sustainable disease management system . Nine isolates of Trichoderma spp. , isolated from rhizosphere soil of chilli experimental field. Among these native isolates, T. harzianum was found as the most frequent five, while the T. viride was found as three, and T. asperellum as one. All nine isolates were screened for their antagonistic activity against Colletotrichum capsici of chilli. Results from present investigation revealed that all Trichoderma isolates significantly reduced the growth of the pathogen. Minimum radial growth of Colletotrichum capsici was recorded as 21.5 mm by Trichoderma isolate Tr-8, followed by Tr-3 and Tr-1 with maximum growth inhibition as 62.60, 61.74 and 59.13 percent, respectively, over control. Inhibition percent of growth by different isolates of T. harzianum ranged between 46.96–54.78 percent of C. capsici . Considering the frequency of T. harzianum among the isolates of native Trichoderma spp. in the experimental field and the growth inhibition percentage on C. capsici, it is concluded that Trichoderma harzianum can be part of integrated management of anthracnose disease of chilli.
Implementasi Image Processing dan Histogram of Oriented Gradient untuk Mendeteksi Slot Parkir Suatu Supermarket

Banyaknya antusias masyarakat untuk mengunjungi supermarket di awal bulan menciptakan sebuah permasalahan baru, yaitu terletak pada lahan parkir. Ditambah keadaan lokasi lahan parkir supermarket yang sempit membuat para pengunjung kebingungan dalam mencari tempat parkir kendaraan mereka. Berdasarkan permasalahan tersebut penulis merasa diperlukannya sebuah sistem yang bertujuan untuk memonitoring dan mencari slot parkir yang kosong pada sebuah lahan parkir supermarket, sistem ini ditujukan bagi petugas parkir dan para pengunjung supermarket. Penelitian ini berpacu pada metode AI Project Cycle dan untuk proses pembuatan, sistem ini menerapkan Image Processing dan menggunakan metode Histogram of Oriented Gradient (HOG), data yang digunakan adalah berupa video dan sampel gambar sebuah lahan parkir, objek yang digunakan peneliti untuk pengujian adalah berupa simulasi lahan parkir (market sederhana) dan mobil mainan mini. Dari hasil pengujian dengan posisi kamera dan angle shot dari atas mendapatkan nilai akurasi yang akurat dengan banyak tepi yang terdeteksi 1126, 1843, 855 dan akurasi sebesar 91,6% program ini dapat dikatakan sudah dapat mendeteksi slot parkir mana yang kosong dan terisi.
PENERAPAN PEMBELAJARAN IPA BERBASIS COMPUTATIONAL THINKING MATERI SIKLUS AIR KELAS V SEKOLAH DASAR

This study aims to describe the application of computational thinking-based learning and its results. Through this research, it can be seen how to integrate computational thinking in learning as well as knowing students' abilities to use the foundation of computational thinking in the learning process. Research using descriptive method with a qualitative research approach. This research was conducted in the even semester of the 2022/2023 school year. The subjects in this study were 25 students in class V A at SD Kanisius Kadirojo, subdistrict Kalasan, Sleman, Yogyakarta. Data analysis in this study used student questionnaires, student worksheets, written tests, and interview guide sheets. From this research, it can be seen that computational thinking can be integrated into learning by using computational thinking foundations in solving problems according to learning materials. Learning in this study uses the foundation of pattern recognition, abstraction, and algorithms. Students can use these foundations indicated by 80% mastering pattern recognition skills, 72% mastering abstraction skills, and 100% mastering algorithm skills. The ability of students to understand learning material is also very good, shown by 76% of students passing the KKM. Students also feel happy with this computational-based learning and feel challenged by using the foundation
Digital Therapeutics for the Egocentric and Allocentric Neglects in Patients with Brain Injury: A Mini Review

Various therapeutic approaches have been developed for neglect. Many studies have demonstrated the effect of digital therapeutics (DTx) on neglect. However, few studies have reported the effects of DTx on egocentric and allocentric neglect. The differentiation of types of neglect and separate interventions is crucial in the rehabilitation process. In this article, seven studies on DTx on egocentric and allocentric neglect were reviewed. DTx, which was employed in these studies, could be classified as follows: (1) software adaptation in traditional treatment, (2) VR game using the head-mount display as treatment, and (3) the development of a new digital program like ReMoVES. In addition, more studies and more effective results were reported for egocentric neglect than for allocentric neglect. In future studies, each effect on egocentric and allocentric neglect should be identified in detail with the appropriate use of differential evaluation and long-term application of independent DTx.
Brain Mitochondrial Bioenergetics in Genetic Neurodevelopmental Disorders: Focus on Down, Rett and Fragile X Syndromes

Mitochondria, far beyond their prominent role as cellular powerhouses, are complex cellular organelles active as central metabolic hubs that are capable of integrating and controlling several signaling pathways essential for neurological processes, including neurogenesis and neuroplasticity. On the other hand, mitochondria are themselves regulated from a series of signaling proteins to achieve the best efficiency in producing energy, in establishing a network and in performing their own de novo synthesis or clearance. Dysfunctions in signaling processes that control mitochondrial biogenesis, dynamics and bioenergetics are increasingly associated with impairment in brain development and involved in a wide variety of neurodevelopmental disorders. Here, we review recent evidence proving the emerging role of mitochondria as master regulators of brain bioenergetics, highlighting their control skills in brain neurodevelopment and cognition. We analyze, from a mechanistic point of view, mitochondrial bioenergetic dysfunction as causally interrelated to the origins of typical genetic intellectual disability-related neurodevelopmental disorders, such as Down, Rett and Fragile X syndromes. Finally, we discuss whether mitochondria can become therapeutic targets to improve brain development and function from a holistic perspective.
Docking Studies, Cytotoxicity Evaluation and Interactions of Binuclear Copper(II) Complexes with S-Isoalkyl Derivatives of Thiosalicylic Acid with Some Relevant Biomolecules

The numerous side effects of platinum based chemotherapy has led to the design of new therapeutics with platinum replaced by another transition metal. Here, we investigated the interactions of previously reported copper(II) complexes containing S-isoalkyl derivatives, the salicylic acid with guanosine-5′-monophosphate and calf thymus DNA (CT-DNA) and their antitumor effects, in a colon carcinoma model. All three copper(II) complexes exhibited an affinity for binding to CT-DNA, but there was no indication of intercalation or the displacement of ethidium bromide. Molecular docking studies revealed a significant affinity of the complexes for binding to the minor groove of B-form DNA, which coincided with DNA elongation, and a higher affinity for binding to Z-form DNA, supporting the hypothesis that the complex binding to CT-DNA induces a local transition from B-form to Z-form DNA. These complexes show a moderate, but selective cytotoxic effect toward colon cancer cells in vitro. Binuclear complex of copper(II) with S-isoamyl derivative of thiosalicylic acid showed the highest cytotoxic effect, arrested tumor cells in the G2/M phase of the cell cycle, and significantly reduced the expression of inflammatory molecules pro-IL-1β, TNF-α, ICAM-1, and VCAM-1 in the tissue of primary heterotopic murine colon cancer, which was accompanied by a significantly reduced tumor growth and metastases in the lung and liver.
Modeling the spatial distribution of seasonal snow accumulation on Teton Glacier, Wyoming, USA

Winter mass balance was measured on Teton Glacier located in the Teton Range of Wyoming in May 1993. Field data were registered to a 5-m resolution DEM constructed for this study from previous work. Spatially distributed depth and density estimates were combined to map snow water equivalence using a GIS. Two methods were compared, and binary regression-tree modeling produced the most accurate estimates. The best estimate of mean snow depth on the glacier was 6.85 m, mean snow water equivalence was 3.22 m, and total volume was 970 000 m3. Model results support an estimate for an accumulation gradient of about 0.90 m water equivalent per 100 m elevation gain. The high mean accumulation value and accumulation gradient are attributable to three factors: (1) high precipitation rates due to orography, (2) leeward deposition of westerly or near-westerly suspended snow load, and (3) most snowfall over an area larger than the glacier itself falls to the glacier either during the precipitation event or later as avalanche debris.
Factors Affecting Bone Mineral Density in Inflammatory Bowel Disease

Objectives: Inflammatory bowel disease (IBD) is a chronic disease, in which autoimmunity has been thought to involve the mucosal barrier, leading to a chronic inflammation and affecting different regions and layers of the gastrointestinal tract. The main types of IBD include ulcerative colitis (UC), Crohn’s disease (CD), and indeterminate colitis which often cannot be distinguished from the other ones. The prevalence of reduced bone mineral density (BMD) is higher in patients with IBD than healthy individuals. In this study, we aimed to evaluate the BMD in patients with UC, CD, and in healthy individuals. Methods: A total of 71 IBD patients (21 CD, 50 UC) and 30 age-and sex-matched healthy individuals were included in this prospective study. Dual-energy X-ray absorptiometry was performed to measure BMD of the vertebra and femoral neck. Results: There was no significant difference in the age, sex, and body mass index between the study and control groups (p<0.05). The BMD values were significantly lower in 16 of 21 CD patients (76.2%). A total of 27 patients (54%) with UC had pathological T-scores, indicating borderline significance (p=0.058). The reduction in BMD was not significant between the IBD patients treated with >5 g/day corticosteroids and those treated with ≤5 g/day or treatment-naive patients (p>0.05). Conclusion: Our study results suggest that BMD is significantly lower in IBD patients, particularly in CD patients.
OmegaWave Sport Technology System

Objective: Applying OmegaWave Sport Technology System (hereinafter referred to as: OmegaWave System) in the diagnosis of the physical function status of the outstanding female volleyball players in order to see if it can be a new method for noninvasive diagnosis of athletes' central fatigue. Method: After training, eight elite female volleyball players were tested with OmegaWave System for four weeks and the test results were carefully studied. Result: There are no significant changes of the players, vagus nerve regulation system factors (Avag), sympathetic nervous regulation system factors (Asym) and mean reaction time (mRT) in the four weeks' tests. Distinct changes of dopamine (DA) can be observed in the fourth week, compared to the result of that in the third week (P<0.05). Conclusion: (1) Intensive training is easy to cause central fatigue of the volleyball players; (2) OmegaWave system can be used to judge athletes' central fatigue condition. OmegaWave