Miracle-dz/UniFAR-FTUs huggingface dataset:
Molecular Cytology of ‘Little Animals’: Personal Recollections of Escherichia coli (and Bacillus subtilis)

This article relates personal recollections and starts with the origin of electron microscopy in the sixties of the previous century at the University of Amsterdam. Novel fixation and embedding techniques marked the discovery of the internal bacterial structures not visible by light microscopy. A special status became reserved for the freeze-fracture technique. By freeze-fracturing chemically fixed cells, it proved possible to examine the morphological effects of fixation. From there on, the focus switched from bacterial structure as such to their cell cycle. This invoked bacterial physiology and steady-state growth combined with electron microscopy. Electron-microscopic autoradiography with pulses of [3H] Dap revealed that segregation of replicating DNA cannot proceed according to a model of zonal growth (with envelope-attached DNA). This stimulated us to further investigate the sacculus, the peptidoglycan macromolecule. In particular, we focused on the involvement of penicillin-binding proteins such as PBP2 and PBP3, and their role in division. Adding aztreonam (an inhibitor of PBP3) blocked ongoing divisions but not the initiation of new ones. A PBP3-independent peptidoglycan synthesis (PIPS) appeared to precede a PBP3-dependent step. The possible chemical nature of PIPS is discussed.
Guarantee Of Clean Water Fulfillment For The Community In Kutai Kartanegara Regency Juridical Study In The Perspective Of Human Rights

Water is the most important element presented by the creator in the midst of this world, the presence of water can help meet needs and create prosperity for the community, especially the availability of appropriate sanitation and clean water. However, in this case the state represented by the government to exercise power for the realization of people's welfare, sometimes has an apathetic attitude and action towards guaranteeing human rights, in the form of fulfilling the right to clean water for its people. This is especially felt by the people in Kutai Kartanegara district, East Kalimantan province, where local people receive water supply from the government that is not of poor quality because the water that flows to their homes is not clear but has a murky color and sometimes contains mud. Meanwhile, this research was carried out using a normative juridical research method, with a statutory and philosophical approach, through collecting primary and secondary legal sources, and then analyzing it using a qualitative descriptive method . The conclusion in this study is that the guarantee of human rights in the form of fulfilling clean water cannot be felt optimally and comprehensively by the people in Kutai Kartanegara district, East Kalimantan province, clean water is a human right that needs to be guaranteed by the state for community needs, both for household needs and industrial needs. and other needs that cannot be separated from clean water. Konstitusion of concerning health emphasizes that people have the right to enjoy clean and healthy water, in this case what is related to the author's research is that the water that flows in people's homes in Kutai Kartanegara district does not meet clean water standards. so that the community's rights in the aspect of clean water to meet their needs and guarantee their health are still being neglected by the state, in this case the government.
Multimodal Approach for Pilot Mental State Detection Based on EEG

The safety of flight operations depends on the cognitive abilities of pilots. In recent years, there has been growing concern about potential accidents caused by the declining mental states of pilots. We have developed a novel multimodal approach for mental state detection in pilots using electroencephalography (EEG) signals. Our approach includes an advanced automated preprocessing pipeline to remove artefacts from the EEG data, a feature extraction method based on Riemannian geometry analysis of the cleaned EEG data, and a hybrid ensemble learning technique that combines the results of several machine learning classifiers. The proposed approach provides improved accuracy compared to existing methods, achieving an accuracy of 86% when tested on cleaned EEG data. The EEG dataset was collected from 18 pilots who participated in flight experiments and publicly released at NASA’s open portal. This study presents a reliable and efficient solution for detecting mental states in pilots and highlights the potential of EEG signals and ensemble learning algorithms in developing cognitive cockpit systems. The use of an automated preprocessing pipeline, feature extraction method based on Riemannian geometry analysis, and hybrid ensemble learning technique set this work apart from previous efforts in the field and demonstrates the innovative nature of the proposed approach.
Mechanisms of fibrous cap formation in atherosclerosis

The fibrous cap is formed by smooth muscle cells that accumulate beneath the plaque endothelium. Cap rupture is the main cause of coronary thrombosis, leading to infarction and sudden cardiac death. Therefore, the qualities of the cap are primary determinants of the clinical outcome of coronary and carotid atherosclerosis. In this mini-review, we discuss current knowledge about the formation of the fibrous cap, including cell recruitment, clonal expansion, and central molecular signaling pathways. We also examine the differences between mouse and human fibrous caps and explore the impact of anti-atherosclerotic therapies on the state of the fibrous cap. We propose that the cap should be understood as a neo-media to substitute for the original media that becomes separated from the surface endothelium during atherogenesis and that embryonic pathways involved in the development of the arteria media contribute to cap formation.
Moapa Valley: A Second Non-Antarctic CM1 Chondrite from Nevada, USA

Discovery: A single dark gray, flattened stone (698.8 g), exhibiting subparallel contraction cracks and partially coated with black, vesicular fusion crust was found in 2004 in the Moapa Valley, southeast of Logandale, Nevada. Petrography: Rounded to ellipsoidal objects (0.05 to 0.7 mm across), exhibiting a preferred orientation of their long axes, are set in a very fine grained, dark matrix containing small clusters of sulfide grains. The larger objects (presumably former chon-drules) are composed mainly of serpentine minerals and S-bearing phase(s) (probably tochinilite), and in thin section range in color from pale yellow-brown to red-brown to sepia brown; some such objects have serpentine-rich rims and/or larger, sub-hedral, dark brown grains composed of serpentine/cronstedtite. The sulfides consist of finely intergrown pyrrhotite and pentland-ite. Very rare magnetite and calcite are present in the matrix, and the specimen is traversed by narrow open fractures and several thin veinlets filled with chalcedony. Broad electron beam analysis of different components gave the following ranges in composition (in wt.%): ellipsoidal objects The specimen must be very porous on a fine scale, judging from the great difficulty in fully degassing small fragments under vacuum. Oxygen Isotopes: Analyses of two acid-washed whole rock fragments by laser fluorination gave, respectively, δ 18 O = 6.29, 6.08; δ 17 O = 0.93, 0.68; Δ 17 O =-2.382,-2.519 per mil. These compositions plot on the CM chondrite trend [1], close to compositions for anomalous CM2 chondrite NWA 3340 [2] and another , 19 gram non-Antarctic CM1 chondrite from Northwest Africa [3]. Bulk Composition: INAA of two ~100 mg samples gave the following mean abundances: FeO 28. The REE pattern is flat at ~1.3xCI chon-drites, and is similar to those of other CM chondrites [4].
Diagnosis- and Prognosis-Related Gene Alterations in BCR::ABL1-Negative Myeloproliferative Neoplasms

BCR::ABL1-negative myeloproliferative neoplasms (MPNs) are a group of hematopoietic malignancies in which somatic mutations are acquired in hematopoietic stem/progenitor cells, resulting in an abnormal increase in blood cells in peripheral blood and fibrosis in bone marrow. Mutations in JAK2, MPL, and CALR are frequently found in BCR::ABL1-negative MPNs, and detecting typical mutations in these three genes has become essential for the diagnosis of BCR::ABL1-negative MPNs. Furthermore, comprehensive gene mutation and expression analyses performed using massively parallel sequencing have identified gene mutations associated with the prognosis of BCR::ABL1-negative MPNs such as ASXL1, EZH2, IDH1/2, SRSF2, and U2AF1. Furthermore, single-cell analyses have partially elucidated the effect of the order of mutation acquisition on the phenotype of BCR::ABL1-negative MPNs and the mechanism of the pathogenesis of BCR::ABL1-negative MPNs. Recently, specific CREB3L1 overexpression has been identified in megakaryocytes and platelets in BCR::ABL1-negative MPNs, which may be promising for the development of diagnostic applications. In this review, we describe the genetic mutations found in BCR::ABL1-negative MPNs, including the results of analyses conducted by our group.
UNDERSTANDING THE DYNAMICS OF ENTREPRENEURIAL PASSION IN ENTREPRENEURSHIP STUDENTS

The goal of this study is to analyze the shaping of entrepreneurial passion among students in the practice of entrepreneurial learning at the one university in Jakarta, Indonesia. Exploring this passion is based on two exogenous variables namely emotional support and perceived competence. Students of the Management Program at the Faculty of Economics and Business of Universitas Tarumanagara were involved as source persons in this research. The purposive sampling method is considered for the selection of samples. Some testing stages were used to analyze data including validity, reliability, and structural regression by using the software of Smart-Pls. The result shows both exogenous variables giving significantly affect entrepreneurial passion. Further effects establish good reliability on these constructs and most indicators are valid. Otherwise, found some indicators got a less score on the loading factor so three items are not accurate to measure entrepreneurial passion and one item is less useful to indicate perceived competence. Based on these results, the entrepreneurial education ecosystem needs to improve these items, so students will be more understand the dynamics of entrepreneurial passion specifically for inventing, founding, and developing their venture. It is useful as a mechanism for encouraging the desire of students for entrepreneurial activity.
Investigating the Role of Individual Differences in Adherence to Cognitive Training

Consistent with research across several domains, intervention adherence is associated with desired outcomes. Our study investigates adherence, defined by participants’ commitment to, persistence with, and compliance with an intervention’s regimen, as a key mechanism underlying cognitive training effectiveness. We examine this relationship in a large and diverse sample comprising 4,775 adults between the ages of 18 and 93. We test the predictive validity of individual difference factors, such as age, gender, cognitive capability (i.e., fluid reasoning and working memory), grit, ambition, personality, self-perceived cognitive failures, socioeconomic status, exercise, and education on commitment to and persistence with a 20-session cognitive training regimen, as measured by the number of sessions completed. Additionally, we test the relationship between compliance measures: (i) spacing between training sessions, as measured by the average time between training sessions, and (ii) consistency in the training schedule, as measured by the variance in time between training sessions, with performance trajectories on the training task. Our data suggest that none of these factors reliably predict commitment to, persistence with, or compliance with cognitive training. Nevertheless, the lack of evidence from the large and representative sample extends the knowledge from previous research exploring limited, heterogenous samples, characterized by older adult populations. The absence of reliable predictors for commitment, persistence, and compliance in cognitive training suggests that nomothetic factors may affect program adherence. Future research will be well served to examine diverse approaches to increasing motivation in cognitive training to improve program evaluation and reconcile the inconsistency in findings across the field.
Stochastic Predictive Control for Partially Observable Markov Decision Processes With Time-Joint Chance Constraints and Application to Autonomous Vehicle Control

This paper describes a stochastic predictive control algorithm for partially observable Markov decision processes (POMDPs) with time-joint chance constraints. We first present the algorithm as a general tool to treat finite space POMDP problems with time-joint chance constraints together with its theoretical properties. We then discuss its application to autonomous vehicle control on highways. In particular, we model decision-making/behavior-planning for an autonomous vehicle accounting for safety in a dynamic and uncertain environment as a constrained POMDP problem and solve it using the proposed algorithm. After behavior is planned, we use nonlinear model predictive control (MPC) to execute the behavior commands generated from the planner. This two-layer control framework is shown to be effective by simulations.
Heterogeneous Convolutional Neural Networks for Emotion Recognition Combined with Multimodal Factorised Bilinear Pooling and Mobile Application Recommendation

The field of emotion recognition has garnered considerable interest due to its diverse applications in mental health, personalised advertising and enhancing user experiences. This research paper introduces a unique and innovative method for emotion recognition by integrating heterogeneous convolutional neural networks (CNNs) with multimodal factorised bilinear pooling. Furthermore, the paper also incorporates the integration of mobile application recommendations as part of the overall approach. The proposed method leverages the power of CNNs to extract high-level features from different modalities, including facial expressions, speech signals and physiological signals. By using heterogeneous CNNs, each modality is processed independently to capture modality-specific emotional cues effectively. To fuse the extracted features, multimodal factorised bilinear pooling is employed, which captures the complex interactions between different modalities while reducing the computational complexity. This pooling technique efficiently combines the modality-specific features, resulting in a compact and discriminative representation of the emotional state. In addition to emotion recognition, this paper also introduces the integration of mobile app recommendations. By leveraging the recognised emotion, the system recommends relevant mobile applications that are tailored to the user’s emotional state. This integration enhances user experience and facilitates emotion regulation through the utilisation of appropriate mobile apps. Experimental evaluations are conducted on benchmark emotion recognition datasets, including the DEAP and MAHNOB_HCI datasets. The findings of the study highlight the effectiveness of the proposed methodology in terms of accuracy and robustness, surpassing existing approaches in the field. Additionally, the integration of the mobile app recommendation system showcases encouraging outcomes by offering personalised recommendations tailored to the user’s emotional state.
Middle and Late Archaic Mortuary Patterning: An Example from the Western Tennessee Valley

The purpose of th i s s tudy i s to descri be and analyze the soci a l organi zati on and s t ructure of Mi ddl e and Late Archa i c popul ati on s i n the western Tennessee Val l ey . The s trati fied Mi ddl e and Late Archai c Eva s i te y ie l ded a temporal l y sequent ia l s ke letal se rie s that al l owed for the exami nati on of changes i n soc i a l and demographi c structure through t i me at a s i ngl e s i te . Compari son of the Late Archa i c Eva series wi th the Late Archa i c Cherry samp le faci l i tated the exami nat i on of spati a l di fferences i n these two parameters . Res ul t s of the analys i s of mortuary acti vi ty i nd i cate that there was l i t t l e e l aborati on i n the mortuary ri tual and that a l l i nd i vi dual s were afforded s i mi l ar treatment at death . The re was a conti n uati on through t ime and between l ocat ions of the es sent i al features of mortuary acti vi ty . Any di fferences i n treatment o f the dead can be expl ained i n terms of age o r sex. The re was no e vi dence for di fferen­ t ia l treatment that coul d be i ndi cat i ve of s tatus pos i ti ons . The hypothes i s i s supported that an egal i tari an soci a l system i s i n opera­ t i on duri ng both the M idd l e and Late Archa i c cul ture peri ods i n the western Tennessee Val l ey. Ana l ys i s of the popu l at i on structure o f these Archai c hun ters and gathere rs was accompl i shed by means of a l i fe tab l e as sumi ng stab l e popul ati on condi t i on s . Res ul ts of the ana l ys i s s uggest that the Eva and Che rry cemetery s ampl es are not re presentati ve of true b i ol ogi cal popul ati ons . I t was proposed that cont inua l ly s h i ft i n g settl ement and sub s i s tence wi th concomi tant fl uctuati on i n the s i ze and i nterna l age i i i composition is a. plausible explanation f or the observed biases in the skeletal samples. iv
OPTIMIZATION OF COLONY POLYMERASE CHAIN REACTION FOR THE 16SRRNA OF DIFFERENT STRAINS OF ESCHERICHIA COLI

Objective: This work aimed to enhance colony polymerase chain reaction (PCR) for the 16S rRNA of several Escherichia coli strains. Methods: The isolation of E. coli is done from the gut of the chicken and soil. Then, we optimized the condition for colony PCR for the amplification of 16s ribosomal RNA. We successfully designed primer 3 for 16s ribosomal RNA and made the dilution solution with PCR grade water that is 1:10. Moreover, finally, we made a 20 μL solution that contains the master mix of our isolated colony and forward and reverse base primer for amplification. After the conventional PCR, the amplified 16s ribosomal RNA was then run on Gel to obtain the desired bands. And finally saw the bands in the Gel Doc picture. Results: Our result shows that the technique of colony PCR is an efficient and quick method than other existing methods that are too costly, tedious, and time-consuming procedures that deter their exploitation in various experimentations and for the identification of E. coli strains. Conclusion: This study concluded that 16s ribosomal RNA can be amplified without the extraction and purification of total genomic DNA from a bacterial colony using colony PCR. Therefore, by designing rRNA primers for E. coli species, we can evaluate their various types of mutations, strain detection, and antibiotic resistance.
Atmospheric pCO2 and climate during late Eocene (36 ± 5 Ma) on the Indian subcontinent

18 O and δ 13 C suggests that the higher atmospheric CO2 may be responsible for higher temperature. Moderate weathering intensity (CIA value 70-82) of the host mudstones suggests warm climate associated with rea- sonable wetness that became dry-subtropical, result- ing in calcrete development in the northern part of the Indian subcontinent during late Eocene. Wet sub- tropical climate demonstrates considerable rainfall at this time interval in the region long before the uplift of the Tibetan plateau. Alternatively, it can be suggested that uplift of the Tibetan plateau began much earlier than presently considered. GLOBAL warming resulting from increased CO2 levels in modern times has heightened interest in the estimation of atmospheric CO2 from the ancient climates . Geochemical modelling and field observations of modern soils indicate that a relationship exists between the δ 13 C of pedogenic carbonate and pCO2 of the atmosphere, and δ 13 C can be used to infer the pCO2 of the palaeoatmospheres 1 . The esti- mated CO2 levels of soil carbonates based on δ 13 C and the GEOCARB III model of Berner and Kothavala 2 are not in conformity with each other. Further, atmospheric CO2 data from continental records are sparse for late Eo- cene and Oligocene times to verify their consequences for the Eocene warming 1 . Additionally, there are conflicting views regarding the age of initiation/intensification of the monsoon-related rainfall on the Indian subcontinent and the uplift of the Tibetan plateau, which is considered as the major cause of the Asian monsoon initiation. Climatic and tectonic history of the last ~ 58 m.y. is preserved in the Himalayan foreland basin sequences that contain thick packages of shallow marine (coastal) and
An L314Q mutation in Map3k1 gene results in failure of eyelid fusion in the N-ethyl-N-nitrosourea-induced mutant line

In this study, we describe an N-ethyl-N-nitrosourea-induced mouse model with a corneal opacity phenotype that was associated with “eye open at birth” (EOB). Histological and immunohistochemistry staining analysis showed abnormal differentiation of the corneal epithelial cells in the mutant mice. The EOB phenotype was dominantly inherited on a C57BL/6 (B6) background. This allele carries a T941A substitution in exon 4 that leads to an L314Q amino acid change in the open reading frame of MAP3K1 (MEEK1). We named this novel Map3k1 allele Map3k1L314Q. Phalloidin staining of F-actin was reduced in the mutant epithelial leading edge cells, which is indicative of abnormality in epithelial cell migration. Interestingly enough, not only p-c-Jun and p-JNK but also c-Jun levels were decreased in the mutant epithelial leading edge cells. This study identifies a novel mouse Map3k1 allele causing EOB phenotype and the EOB phenotype in Map3k1L314Q mouse may be associated with the reduced level of p-JNK and c-Jun.