The Slow Growth of New Plants: Learning about Demand?

It is well known that new businesses are typically much smaller than their established industry competitors, and that this size gap closes slowly. We show that even in commodity-like product markets, these patterns do not reflect productivity gaps, but rather differences in demand-side fundamentals. We document and explore patterns in plants’ idiosyncratic demand levels by estimating a dynamic model of plant expansion in the presence of a demand accumulation process (e.g., building a customer base). We find active accumulation driven by plants’ past production decisions quantitatively dominates passive demand accumulation, and that within-firm spillovers affect demand levels but not growth.

Malignant Melanoma in a Calf

On March 2, 1944, an 8-month-old male Aberdeen Angus calf was presented at the Stange Memorial Clinic with the history of a growth in the scrotum which had increased rapidly in size in the last two months. The growth was present but small when the animal was born. The animal was in good condition when presented at the clinic. Examination revealed that the neoplastic growth was located in the distal end and the walls of the scrotum

Brucellosis

Brucellosis is not only of concern to the veterinarian from the standpoint of animal health; it also concerns the Veterinary Profession from the standpoint of public health. In dealing with brucellosis in animals, the veterinarian must be ever on his guard-lest he himself become infected with the serious malady commonly termed undulant or malta fever. From the standpoint of public health, chief reliance is placed on members of the Veterinary Profession in the pursuit of measures for the control and eradication of brucellosis in cattle, swine and other susceptible animals

Effective representation of RT-LOTOS terms by finite time petri nets

The paper describes a transformational approach for the specification and formal verification of concurrent and real-time systems. At upper level, one system is specified using the timed process algebra RT-LOTOS. The output of the proposed transformation is a Time Petri net (TPN). The paper particularly shows how a TPN can be automatically constructed from an RT-LOTOS specification using a compositionally defined mapping. The proof of the translation consistency is sketched in the paper and developed in [1]. The RT-LOTOS to TPN translation patterns formalized in the paper are being implemented. in a prototype tool. This enables reusing TPNs verification techniques and tools for the profit of RT-LOTOS

A Model of Vertical Oligopolistic Competition

This paper develops a model of successive oligopolies with endogenous market entry, allowing for varying degrees of product differentiation and entry costs in both markets. Our analysis shows that the downstream conditions dominate the overall profitability of the two-tier structure while the upstream conditions mainly affect the distribution of profits. We compare the welfare effects of upstream versus downstream deregulation policies and show that the impact of deregulation may be overvalued when ignoring feedback effects from the other market. Furthermore, we analyze how different forms of vertical restraints influence the endogenous market structure and show when they are welfare enhancing

Exporting and labor demand : micro-level evidence from Germany

It is widely believed that globalization affcts the extent of employment and wage responses to economic shocks. To provide evidence for this, we analyze the effect of firms' exporting behavior on the elasticity of labor demand. Using rich, German administrative linked employer-employee panel data from 1996 to 2008, we explicitly control for self-selection into exporting and endogeneity concerns. In line with our theoretical model, we find that exporting at both the intensive and extensive margins significantly increases the (absolute value of the) unconditional own-wage labor demand elasticity. This is not only true for the average worker, but also for different skill groups. For the median firm, the elasticity is three-quarters higher when comparing exporting to nonexporting firms

Predicting new venture survival and growth: does the fog lift?

This paper investigates whether new venture performance becomes easier to predict as the venture ages: does the fog lift? To address this question we primarily draw upon a theoretical framework, initially formulated in a managerial context by Levinthal (Adm Sci Q 36(3):397–420, 1991) that sees new venture sales as a random walk but survival being determined by the stock of available resources (proxied by size). We derive theoretical predictions that are tested with a 10-year cohort of 6579 UK new ventures in the UK. We observe that our ability to predict firm growth deteriorates in the years after entry—in terms of the selection environment, the ‘fog’ seems to thicken. However, our survival predictions improve with time—implying that the ‘fog’ does lift

EXTRACTION OF LEMON PEEL (Citrus limon L.) AS AN ORGANIC STAIN REMOVER FOR PARTICULATE AND OXIDIZABLE STAINS

Fabric plays a key role in modern society, used widely in fashion and home decor. Different fabrics, including synthetics like polyester, have unique properties that determine their applications. Stains, caused by foreign substances, are categorized into four types: enzymatic, oxidizable, greasy, and particulate. Stain removal often involves chemical-based products, which can be harmful. This study shows that Lemon Peel Extract (Citrus Limon L.) can remove oxidizable and particulate stains. With titrimetric and colorimetric analysis, it was found that 54.83% of particulate and 54.14% of oxidizable stains were removed. Promoting natural alternatives like lemon peel extract helps reduce harmful chemicals, supporting a healthier and more sustainable lifestyle

Statistical Epistemic Logic

We introduce a modal logic for describing statistical knowledge, which we call statistical epistemic logic. We propose a Kripke model dealing with probability distributions and stochastic assignments, and show a stochastic semantics for the logic. To our knowledge, this is the first semantics for modal logic that can express the statistical knowledge dependent on non-deterministic inputs and the statistical significance of observed results. By using statistical epistemic logic, we express a notion of statistical secrecy with a confidence level. We also show that this logic is useful to formalize statistical hypothesis testing and differential privacy in a simple and abstract manner