Miracle-dz/UniFAR-FTUs huggingface dataset:
NUTRITIONAL STATUS OF THE GOVERNMENT SCHOOL CHILDREN OF ADOLESCENT AGE GROUP IN URBAN AREAS OF DISTRICT GAUTAMBUDH-NAGAR, UTTAR PRADESH

Introduction: Adolescents are overlooked in most health programs as they are basically considered healthy population but the scenario varies. The present study was done with the objective of assessing the nutritional status of adolescent children attending a school in urban resettlement colony. Methodology: A cross-sectional study was done covering 392 children between 10-19 years of age from two government schools and interviewed and anthropometric measurements taken. Results: The overall prevalence of thinness was found to be 23.2% and severe thinness was found to be 7.4%. The prevalence of thinness and severe thinness in boys was 24.1% and 8.6% respectively whereas in girls it was comparatively low thinness 20.6 and 3.9%. Overall 12.5% children were found to be suffering from stunting and 1.5% from severe stunting. Moderate stunting was found in 13.7% and 12% girls whereas severe stunting was found in 0.7% boys and 3.9% girls. Conclusion: Adolescents have the lowest mortality among the different age groups and have therefore received low priority in national health programs but considering the high prevalence of malnutrition in this important transitional phase of human life, the adolescent nutrition should be given prior importance in nutritional programs.
Metadata-as-a-Service

We present a vision of a technology and domain agnostic service that will store metadata that describes properties of the diverse data sets in an enterprise (or across several enterprises), and spread among heterogenous stores, such as relational databases, data warehouses, NoSQL or NewSQL cloud storage platforms, etc. The Metadata-as-a-Service will allow search over the metadata, so users and applications can find useful data sets, whether those are raw data or derived data. We make a preliminary proposal for the high-level architecture and API of such a service.
6-Methylpyridine-2(1H)-thione

There are two unique molecules in the asymmetric unit of the title pyridinethione derivative, C6H7NS, each of which adopts the thione rather than the mercaptan form. The rings in both molecules are essentially planar, with maximum deviations from the least-squares planes through all non-H atoms of 0.021 (2) and 0.017 (2) Å. In the crystal structure, the molecules form centrosymmetric cyclic dimers through intermolecular N—H⋯S hydrogen bonds. Additional C—H(methyl)⋯S interactions generate a three-dimensional network.
Med2Meta: Learning Representations of Medical Concepts with Meta-Embeddings

Distributed representations of medical concepts have been used to support downstream clinical tasks recently. Electronic Health Records (EHR) capture different aspects of patients' hospital encounters and serve as a rich source for augmenting clinical decision making by learning robust medical concept embeddings. However, the same medical concept can be recorded in different modalities (e.g., clinical notes, lab results)-with each capturing salient information unique to that modality-and a holistic representation calls for relevant feature ensemble from all information sources. We hypothesize that representations learned from heterogeneous data types would lead to performance enhancement on various clinical informatics and predictive modeling tasks. To this end, our proposed approach makes use of meta-embeddings, embeddings aggregated from learned embeddings. Firstly, modality-specific embeddings for each medical concept is learned with graph autoencoders. The ensemble of all the embeddings is then modeled as a meta-embedding learning problem to incorporate their correlating and complementary information through a joint reconstruction. Empirical results of our model on both quantitative and qualitative clinical evaluations have shown improvements over state-of-the-art embedding models, thus validating our hypothesis.
Optimal Link Scheduling in Millimeter Wave Multi-Hop Networks With MU-MIMO Radios

This paper studies the maximum throughput achievable with optimal scheduling in multi-hop mmWave picocellular networks with Multi-user Multiple-Input Multiple-Output (MU-MIMO) radios. MU-MIMO enables simultaneous transmission to multiple receivers (Space Division Multiplexing) and simultaneous reception from multiple transmitters (Space Division Multiple Access). The main contribution is the extension to MU-MIMO of the Network Utility Maximization (NUM) scheduling framework for multi-hop networks. We generalize to MU-MIMO the classic proof that Maximum Back Pressure (MBP) scheduling is NUM optimal. MBP requires the solution of an optimization that becomes harder with MU-MIMO radios. In prior models with one-to-one transmission and reception, each valid schedule was a matching over a graph. However, with MU-MIMO each valid schedule is, instead, a Directed Bipartite SubGraph (DBSG). In the general case this prevents finding efficient algorithms to solve the scheduler. We make MU-MIMO MBP scheduling tractable by assuming fixed power allocation, so the optimal scheduler is the Maximum Weighted DBSG. The MWDBSG problem can be solved using standard Mixed Integer Linear Programing. We simulate multi-hop mmWave picocellular networks and show that a MU-MIMO MBP scheduler enables a 160% increase in network throughput versus the classic one-to-one MBP scheduler, while fair rate allocation mechanisms are used in both cases.
Potential Passenger Flow Prediction: A Novel Study for Urban Transportation Development

Recently, practical applications for passenger flow prediction have brought many benefits to urban transportation development. With the development of urbanization, a real-world demand from transportation managers is to construct a new metro station in one city area that never planned before. Authorities are interested in the picture of the future volume of commuters before constructing a new station, and estimate how would it affect other areas. In this paper, this specific problem is termed as potential passenger flow (PPF) prediction, which is a novel and important study connected with urban computing and intelligent transportation systems. For example, an accurate PPF predictor can provide invaluable knowledge to designers, such as the advice of station scales and influences on other areas, etc. To address this problem, we propose a multi-view localized correlation learning method. The core idea of our strategy is to learn the passenger flow correlations between the target areas and their localized areas with adaptive-weight. To improve the prediction accuracy, other domain knowledge is involved via a multi-view learning process. We conduct intensive experiments to evaluate the effectiveness of our method with real-world official transportation datasets. The results demonstrate that our method can achieve excellent performance compared with other available baselines. Besides, our method can provide an effective solution to the cold-start problem in the recommender system as well, which proved by its outperformed experimental results.
Modular Termination Checking Theorems for Second-Order Computation

We present new theorems of modular termination checking for second-order computation. They are useful for proving termination of higher-order programs and foundational calculi. Moreover, they offer a decomposition technique for difficult termination problems. Our proof is based on two SN-preserving translations and nontrivial use of Blanqui's General Schema: a syntactic criterion of strong normalisation (SN). The first translation is to attach partial terms to the original system, which is a variation of author's previous work on higher-order semantic labelling. The second is to translation it to an explicit substitution system, which makes it possible to apply our modularity theorem. Experimental results obtained with our implementation SOL demonstrate that this modular SN is effective for application to various problems.
Forward and backward feature selection for query performance prediction

The goal of query performance prediction (QPP) is to automatically estimate the effectiveness of a search result for any given query, without relevance judgements. Post-retrieval features have been shown to be more effective for this task while being more expensive to compute than pre-retrieval features. Combining multiple post-retrieval features is even more effective, but state-of-the-art QPP methods are impossible to interpret because of the black-box nature of the employed machine learning models. However, interpretation is useful for understanding the predictive model and providing more answers about its behavior. Moreover, combining many post-retrieval features is not applicable to real-world cases, since the query running time is of utter importance. In this paper, we investigate a new framework for feature selection in which the trained model explains well the prediction. We introduce a step-wise (forward and backward) model selection approach where different subsets of query features are used to fit different models from which the system selects the best one. We evaluate our approach on four TREC collections using standard QPP features. We also develop two QPP features to address the issue of query-drift in the query feedback setting. We found that: (1) our model based on a limited number of selected features is as good as more complex models for QPP and better than non-selective models; (2) our model is more efficient than complex models during inference time since it requires fewer features; (3) the predictive model is readable and understandable; and (4) one of our new QPP features is consistently selected across different collections, proving its usefulness.
(S)-6-Chloro-4-cyclopropylethynyl-4-trifluoromethyl-1H-3,1-benzoxazin-2(4H)-one

Two independent molecules comprise the crystallographic asymmetric unit in the title antiretroviral agent Efavirenz, C14H9ClF3NO2, and these have noteworthy differences in conformation. The major difference relates to the orientation of the 2-cyclopropylethynyl residue relative to the six-membered heterocycle: this approaches an orthogonal disposition in molecule a compared to a more flattened conformation in molecule b, the difference being reflected in the Oring—C—C—Cethyne torsion angles of 65 (4) and 159 (5)°, respectively. The independent molecules are connected via the eight-membered {⋯HNC (O)}2 amide synthon. Disorder is noted in the cyclopropane ring of molecule b in that two orientations of equal weight were discerned.
Circuit architecture of a sub-GHz resolution panoramic C band on-chip spectral sensor

Monitoring the state of the optical network is a key enabler for programmability of network functions, protocols and efficient use of the spectrum. A particular challenge is to provide the SDN-EON controller with a panoramic view of the complete state of the optical spectrum. This paper describes the architecture for compact on-chip spectrometry targeting high resolution across the entire C-band to reliably and accurately measure the spectral profile of WDM signals in fixed and flex-grid architectures. An industry standard software tool is used to validate the performance of the spectrometer. The fabrication of the proposed design is found to be practical.
1-[4-(Dimethylamino)benzylidene]-4-methylthiosemicarbazide

In the title compound, C11H16N4S, an intramolecular N—H⋯N hydrogen bond generates an S(5) ring. In the crystal, inversion dimers linked by pairs of N—H⋯S bonds occur, generating an R 2 2(8) loop.
Deep Reinforcement Learning for Routing a Heterogeneous Fleet of Vehicles

Motivated by the promising advances of deep-reinforcement learning (DRL) applied to cooperative multi-agent systems we propose a model and learning procedure to solve the Capacitated Multi-Vehicle Routing Problem (CMVRP) with fixed fleet size. Our learning procedure follows a centralized-training and decentralized-execution paradigm. We empirically test our model and showed its capability for producing near-optimal solutions through cooperative actions. In large instances, our model generates better solutions than other commonly used heuristics. Additionally, our model can solve arbitrary instances of the CMVRP without requiring re-training.
Quantum Linear Scalar Fields with Time Dependent Potentials: Overview and Applications to Cosmology

In this work, we present an overview of uniqueness results derived in recent years for the quantization of Gowdy cosmological models and for (test) Klein-Gordon fields minimally coupled to Friedmann-Lemaitre-Robertson-Walker, de Sitter, and Bianchi I spacetimes. These results are attained by imposing the criteria of symmetry invariance and of unitary implementability of the dynamics. This powerful combination of criteria allows not only to address the ambiguity in the representation of the canonical commutation relations, but also to single out a preferred set of fundamental variables. For the sake of clarity and completeness in the presentation (essentially as a background and complementary material), we first review the classical and quantum theories of a scalar field in globally hyperbolic spacetimes. Special emphasis is made on complex structures and the unitary implementability of symplectic transformations.
Diaquabis[1,2-bis(pyridin-4-yl)ethene]bis[2-(4-carboxyphenyl)acetato]cobalt(II)

The asymmetric unit of the title compound, [Co(C9H7O4)2(C12H10N2)2(H2O)2], consists of one Co2+ ion, one mono-deprotonated 2-(4-carboxylatophenyl)acetate carboxylic acid, one 1,2-bis(pyridin-4-yl)ethane molecule and one water molecule. The CoII atom is situated on a crystallographic center of inversion and is octahedrally coordinated by two O atoms from two anions, two N atoms of two 1,2-bis(pyridin-4-yl)ethane molecules and two O atoms from two water molecules. A three-dimensional network is established by intermolecular O—H⋯O and O—H⋯N hydrogen bonds.
5H-Imidazo[4,5-f][1,10]phenanthroline

The title molecule, C13H8N4, is is essentially planar [r.m.s. deviation for all non-H atoms = 0.025 (3) Å]. In the crystal, molecules are connected through one weak bifurcated N—H⋯(N,N) hydrogen bond and three π–π stacking interactions between pyridine and imidazole rings [centroid–centroid distance = 3.631 (8) Å] and between pyridine and benzene rings [centroid–centroid distances = 3.675 (5) and 3.666 (2) Å].
Poly[[μ2-1,4-bis(imidazol-1-ylmethyl)benzene](μ4-3,5,9,11-tetraoxo-4,10-diazatetracyclo[5.5.2.02,6.08,12]tetradec-13-ene-4,10-diido)disilver(I)]

In the title complex, [Ag2(C12H8N2O4)(C14H14N4)]n, one AgI ion, lying on a twofold rotation axis, is coordinated by two N atoms from two 3,5,9,11-tetraoxo-4,10-diazatetracyclo[5.5. 2.02,6.08,12]tetradec-13-ene-4,10-diide (L) ligands in a nearly linear arrangement. The other AgI ion, lying on an inversion center, is coordinated by two O atoms from two L ligands and two N atoms from two 1,4-bis(imidazol-1-ylmethyl)benzene ligands in a distorted square-planar geometry. An additional Ag⋯Ag [3.0119 (3) Å] interaction links the AgI ions into a chain along [010]. The two types of ligands have mirror symmetry and connect the AgI ions into a layer parallel to (100).
2,6-Dichloro-3-nitropyridine

The asymmetric unit of the title compound, C5H2Cl2N2O2, consists of two crystallographically independent molecules. The pyridine ring in each molecule is essentially planar, with maximum deviations of 0.004 (4) and 0.007 (4) Å. Short Cl⋯O [3.09 (3) and 3.13 (4) Å] and Cl⋯Cl [3.38 (12) Å] contacts were observed. No significant intermolecular interactions were observed in the crystal packing.
5-p-Tolyl-1,2,3,3a-tetrahydrobenzo[e]pyrrolo[2,1-b][1,3]oxazepin-10(5H)-one

The structure of the title compound, C19H19NO2, contains a seven-membered ring, which is fused to one five- and one six-membered ring, and carries a tolyl substituent. The two benzene rings are oriented relative to each other at a dihedral angle of 86.90 (7)°. In the crystal, molecules are linked by weak intermolecular C—H⋯O hydrogen bonds.
3-Methylbenzene-1,2-diamine

The title compound, C7H10N2, was synthesized from 2-methyl-6-nitroaniline by a reduction reaction. In the crystal, molecules are linked via N—H⋯N hydrogen bonds, forming two-dimensional networks lying parallel to (100). These networks are stabilized by C—H⋯π and N—H⋯π interactions.
1-[(2S)-1-Chloro-3-phenylpropan-2-yl]-2,4,5-triphenyl-1H-imidazole

In the title compound, C30H25ClN2, the chiral center maintains the S configuration of the stating l-phenylalaninol. The two phenyl groups closest to the substituted N atom adopt an almost perpendicular orientation relative to the central imidazole ring, with dihedral angles of 88.9 (4) and 84.7 (3)°. The third phenyl group is nearly coplanar with it, making a dihedral angle of 11.0 (5)°.
Bis[μ-4,4′,6,6′-tetrachloro-2,2′-(piperazine-1,4-diyldimethylene)diphenolato]dicopper(II)

In the centrosymmetric dinuclear CuII title complex, [Cu2(C18H16Cl4N2O2)2], the CuII atom adopts a square-pyramidal geometry with a tetradentate ligand in the basal plane. The apical site is occupied by a phenolate O atom from an adjacent ligand, forming a dimer. The molecular structure is stabilized by intramolecular C—H⋯O and C—H⋯Cl hydrogen bonds.
Decachlorohexa-1,5-diene

The title compound, C6Cl10, cystallizes in a nearly C2-symmetrical gauche conformation. Both trichlorovinyl groups are nearly planar [Cl—C—C—Cl torsion angles = −178.47 (12) and −179.93 (11)°] and the lengths of their C—Cl bonds increase from the terminal trans and cis C—Cl bonds to the internal bonds. The Cl—C—Cl bond angles of the terminal dichloromethylene units are compressed to 111.75 (11) and 111.40 (11)°.
(E)-1,2-Bis{4-[dimethyl(vinyl)silyl]phenyl}ethene

The molecule of the title compound, C32H34Si2, is situated about a centre of symmetry. The whole diphenylethene fragment is planar and the Car—Si—C3 group is rotated by ca 30° with respect to the plane of the benzene ring. The crystal structure is stabilized by some C—H⋯π contacts as well as van der Waals interactions.
1,3,5-Tris(4-methoxyphenyl)-1,3,5-triazinane-2,4,6-trione

The complete molecule of the title compound, C24H21N3O6, is generated by the application of threefold rotation symmetry about an axis perpendicular to the central ring. The molecule exhibits a propeller-like shape. The dihedral angle between each benzene ring and the heterocyclic ring is 74.0 (1)°. The molecules pack with no specific intermolecular interactions between them. The SQUEEZE procedure in PLATON [Spek (2009 ▶). Acta Cryst. D65, 148–155] was used to model disordered solvent molecules, presumed to be acetone; the calculated unit-cell data do not take into account the presence of these.
Dichlorido(4′-phenyl-2,2′:6′,2′′-terpyridyl)zinc

The title compound, [ZnCl2(C21H15N3)], was obtained from the reaction of ZnCl2·4H2O with 4′-phenylterpyridine (L) and disodium 2,6-dipicolinate. The Zn2+ cation is ligated by the N atoms of the tridentate L ligand and two chloride anions, forming a ZnN3Cl2 polyhedron with a distorted trigonal–bipyramidal coordination geometry. In the crystal, nonclassical C—H⋯Cl hydrogen bonds are observed.
3β-Chloro-6-[2-(2-cyanoacetyl)hydrazin-1-ylidene]-5α-cholestane

The asymmetric unit of the title compound, C30H48ClN3O, contains two molecules, A and B. In both molecules, the three cyclohexane rings in the steroid fused ring systems adopt chair conformations, while the cyclopentane rings adopt envelope and twist conformations in molecules A and B, respectively. In molecule B, the cyano group is disordered over two orientations with refined site-occupancies of 0.593 (8) and 0.407 (8). An intramolecular C—H⋯N interaction forms an S(10) ring in both molecules. In the crystal, molecules are linked by N—H⋯O, C—H⋯O and C—H⋯N interactions, resulting is chains propagating along the a-axis direction.
Cs10Ta29.27O78

Single crystals of caesium tantalate(V), Cs10Ta29.27O78, were obtained as a serendipitous product in a welded tantalum ampoule by a blank reaction of CsBr and bismuth subnitrate [Bi5O(OH)9(NO3)4] with the container material. The crystal structure of the title compound is made up of a three-dimensional framework constituted by two types of layers, viz. (Ta6O15)n and (Ta3O9)n, parallel to (001), which are linked together by TaO6 octahedra (3m. symmetry) along [001]. This framework has cavities where three independent Cs+ ions (3m. and m2 symmetry, respectively) are located. The compound reveals a Ta deficiency at one trigonal prismatic coordinated site ( m2 symmetry). The composition of the title compound was verified by energy-dispersive X-ray analysis of single crystals.
4,5-Dichloro-2-methylpyridazin-3(2H)-one

The asymmetric unit of the title compound, C5H4Cl2N2O, contains one half-molecule: all the non-H atoms lie on a crystallographic mirror plane. In the crystal structure, molecules are linked into chains along the c axis by weak intermolecular C—H⋯O hydrogen bonds.
(2E)-3-(4-Chlorophenyl)-1-(4-hydroxyphenyl)prop-2-en-1-one

In the title compound, C15H11ClO2, the dihedral angle between the mean planes of the chlorobenzene and hydroxybenzene rings is 6.5 (6)°. The mean plane of the prop-2-en-1-one group makes an angle of 18.0 (1)° with the hydroxyphenyl ring and 11.5 (1)° with the chlorophenyl ring. The crystal packing is stabilized by intermolecular O—H⋯O hydrogen bonds, weak C—H⋯O, C—H⋯π and π–π stacking interactions [centroid–centroid distances = 3.7771 (7) and 3.6917 (7) Å].
LiYbCl4(THF)4

The title compound, di-μ-chlorido-dichlorido-1κ2 Cl-tetrakis(tetrahydrofuran)-1κ2 O,2κ2 O-lithiumytterbium(III), [LiYbCl4(C4H8O)4], was prepared by the reaction of YbCl3(THF)3 with LiCl in THF (THF is tetrahydrofuran). The central motif of the structure is a Yb(μ-Cl)2Li ring. The Yb atom is hexacoordinated to four Cl atoms and two THF molecules oriented in a trans fashion. The Li atom has a tetrahedral environment and is coordinated to two Cl atoms and two THF molecules. No intermolecular interactions other than van der Waals forces were observed. Two of the THF molecules are disordered over two positions.
Di-μ-chlorido-bis[(2-amino-4-methylpyridine-κN)chloridomercury(II)]

In the centrosymmetric dinuclear title compound, [Hg2Cl4(C6H8N2)2], the HgII ion is four-coordinated by one pyridine N atom from a 2-amino-4-methylpyridine ligand, one terminal Cl atom and two bridging Cl atoms. A distorted tetrahedral geometry is formed around each HgII ion. The crystal packing is stabilized by intra- and intermolecular N—H⋯Cl hydrogen bonding. There are also π–π stacking interactions in the structure, with centroid-to-centroid distances of 3.594 (6) Å.
(E)-1-[(1,3-Dioxan-4-yl)methyl]-2-(nitromethylidene)imidazolidine

In the title compound, C9H15N3O4, the 1,3-dioxane ring displays a chair conformation and the five-membered ring is close to planar (r.m.s. deviation = 0.054 Å). An intramolecular N—H⋯O hydrogen bond to one of the nitro-group O atoms generates an S(6) ring. In the crystal, intermolecular N—H⋯O hydrogen bonds link the molecules into C(6) chains propagating in [010] and a C—H⋯O link also occurs.
2-Ethyl-3,5,6-triphenylpyrazine

In the title molecule, C24H20N2, the pyrazine ring is significantly distorted from planarity, presumably due to steric crowding, and its conformation is well described as a flattened twist-boat. The benzene ring adjacent to the ethyl group forms dihedral angles of 53.79 (13) and 85.47 (12)° with the other benzene rings; the dihedral angle between adjacent benzene rings is 57.90 (12)°. The ethyl group is disordered over two positions; the site-occupancy factor of the major component is 0.546 (4). No hydrogen bonds are found in the crystal structure.
(1R,2S)-N,N′-(1,2-Dihydroxyethylene)diformamide

The asymmetric unit of the title compound, C4H8N2O4, contains one half-molecule which is completed via a crystallographic inversion centre. In the crystal structure, molecules are arranged in undulating layers parallel to (001). Intermolecular N—H⋯O and O—H⋯O hydrogen bonds consolidate this arrangement.